Job Requisition ID # 26WD100141Position OverviewAre you tenacious and have experience building trusted relationships?

About the Team/Role • Ensures that payments received from customers are applied accurately and promptly to accounts, based on SLOs.

Headquarters: Austin, TX URL: https://edfinity.com About Edfinity Edfinity is the category leader in courseware and assessment technology for higher-ed STEM. We're NSF-supported, bootstrapped, and built by a close-knit remote team of senior engineers. We're growing fast and leading the field in AI-powered courseware that moves the needle on educator productivity and student outcomes. Your work will reach hundreds of institutions, and you will help decide how it gets built. How we work We're fully remote, with team members distributed across the US, and with that comes personal flexibility and accountability. AI agents produce most of our code. We move fast, but we temper velocity with quality and stability above all else. Engineers frame the problems, direct the work, and are accountable for everything that ships. If you already work this way and have opinions about it, you'll feel at home. Everyone has opportunities to work across different areas of the platform, and team members are expected to develop deep technical expertise over time. This is particularly important as we step away from hands-on coding. We're a small team of collaborative senior engineers. Your opinion matters. The pace of change is real. More than ever, we're continually evolving our tooling and workflows as LLMs become more capable. What you’ll be doing Our stack is Ruby on Rails, MongoDB, Elasticearch, ClickHouse, Redis/Sidekiq, and React. Full-stack product development in areas like assessment authoring, delivery, and grading; educator and student-facing features; LMS integrations LLM-powered features, from prompt architecture to auto-grading to eval infrastructure Performance optimization and reliability refactoring to handle both day-to-day load and high-stakes spikes Stewardship of a mature codebase: upgrades, migrations, and paying down technical debt methodically Part-time technical support rotation. Customer happiness is extremely important to us. What you'll need 8-15 years building and running scalable production web applications and services Deep experience with Rails Experience with web front-ends such as React Recent experience in an SDLC revolving around the use of AI agents Strong CS fundamentals in systems, data modeling, and complexity Excellent communication hygiene, collaborative skills, and strong sense of self-direction. Interest in a long-term seat on a close-knit team. Authorization to work in the United States. We are not able to sponsor or transfer work visas at this time. Compensation $135,000-$195,000, plus eligibility for an annual discretionary bonus, retirement plan, and PTO To apply: https://weworkremotely.com/remote-jobs/edfinity-senior-software-engineer-remote

Headquarters: UK URL: http://agpt.co Remote · ~3 days/week · 12-week contract · £500–£650/day · Immediate start · Paid working trial for finalists About AutoGPT At AutoGPT, we're building toward a future where AI agents do real work for people — not just answer questions, but take action, complete tasks, and move work forward. Our mission is to democratize AI by making powerful digital assistants accessible and useful to everyone, regardless of technical background. We created one of the most-starred open-source projects on GitHub, and our hosted platform is now live and accepting paying customers. We already have a large global audience and tens of thousands of branded search visitors every month. What we don't yet have is a proven, repeatable go-to-market motion. That's what you'll find. The Product AutoPilot: an AI teammate that builds and runs working automations from a conversation. AutoGPT Builder: a graph-based canvas for creating agents without coding. AutoGPT Marketplace: discover and deploy ready-made agents. Agent Library: manage, schedule, and monitor agents. Try it in 60 seconds, no signup required: platform.agpt.co/tour/chat The Role Your mandate is to find, prove, and begin scaling a repeatable path from an ICP-fit prospect with an urgent job to an activated, retained AutoGPT customer. You'll investigate and fix the constraint wherever it exists: ICP selection, positioning, proof, pricing, website conversion, checkout, onboarding, activation, lifecycle communication, product experience, or acquisition. This isn't a role where you deliver recommendations to another marketing team. You'll personally research, write, build, launch, measure, and iterate, with direct access to the founders, product, engineering, and customer and funnel data. What You'll Own Establish reliable measurement from acquisition through purchase, activation, and retention. Interview customers, non-buyers, churned users, and high-fit waitlist members. Validate or disprove our ICP and use-case hypotheses. Define the initial ICP, anti-ICP, JTBD, buying trigger, and value proposition. Improve positioning, use-case pages, proof, checkout, and onboarding. Help define and improve activation and time to value. Launch segmented waitlist campaigns. Run controlled paid-search tests around high-intent, non-branded problems. Validate SEO opportunities before scaling content. Test product-led social, YouTube, outreach, or partnerships where evidence supports them. Work directly with product and engineering on funnel and activation improvements. Maintain a prioritized experiment backlog with hypotheses, costs, results, and decisions. Provide concise weekly reporting: one async memo and one 30-minute decision meeting. Protect and elevate the AutoGPT brand throughout. What Success Looks Like Within 10 business days: A reliable view of the funnel, including qualified traffic and meaningful product activation. Evidence explaining the biggest current drop-offs. Customer and high-fit non-buyer interviews completed. Initial improvements or experiments already live. Numeric targets agreed for the remainder of the contract. By the end of the engagement: ICP and use-case hypotheses validated or rejected. Qualified conversion and/or activation and retention improved. Acquisition sources that produce genuinely valuable customers understood. The beginnings of a repeatable acquisition + activation motion — or compelling evidence identifying and addressing a more fundamental constraint. A documented growth operating system and clear recommendation for what comes next. The primary outcome isn't more traffic. It's more ICP-fit customers who successfully use AutoGPT and remain customers. Who We're Looking For You've personally operated in an early-stage product-led B2B or prosumer SaaS environment — perhaps as a first or second growth hire, founding marketer, hands-on growth lead, product-growth operator, or former founder. You can demonstrate: Relevant 0-to-1 growth results, including the starting baseline. Exactly what you personally did — real pages, emails, ads, onboarding flows, dashboards, or research. Strong customer-research and product-marketing judgment. Analytical self-sufficiency across attribution, billing, and product data. Experience improving onboarding, activation, or retention. Ability to write and ship landing pages, emails, ads, and lifecycle communication. Hands-on paid-search and experimentation experience. Excellent written English and strong brand judgment. Ability to work autonomously and communicate concisely. Experience with AI, automation, developer tools, no-code products, or open-source communities is useful, but evidence that you've solved this kind of commercial problem matters more. This Is Not An adviser-only fractional CMO role. A strategy-deck engagement. A pure paid-acquisition role. An SEO content-production contract. A social-media management role. An agency account-management role. A position for someone who needs a full design, analytics, and marketing team before shipping. Agency applications aren't suitable. We want the individual who will personally do the work. Why AutoGPT? You'll own the commercial growth problem at a pivotal moment: a famous brand, a live product, an existing audience, and a genuinely open playing field. You'll have direct access to the founders, fast decisions on experiments, and no approval bureaucracy for agreed reversible tests. We're a small, kind, globally distributed team that values empathy, autonomy, and shipping. What you prove during this engagement can become the company's long-term growth engine. Details Role: Contract GTM Lead (0-to-1)Term: Initial 12 weeks, approximately 3 days/weekLocation: Fully remote, async-first, with meaningful European working-hour overlapRate: £500–£650/day, depending on evidence and experienceStart: ImmediateSelection: Finalists complete a paid working trial How to Apply The application takes approximately 10 minutes. Apply here: https://tally.so/r/QK94p8 We'll ask for: Two relevant examples of early-stage growth work, including the starting position, problem, your personal contribution, what you shipped, results, and what didn't work. An example where an apparent acquisition problem turned out to be a different funnel, product, or positioning problem. What you'd need access to in your first week. Your availability, time zone, day rate, and number of other active clients. A short recording after trying AutoGPT, covering the biggest unknown you'd investigate, the first metric you'd establish, and one thing you'd deliberately avoid doing prematurely. We assess candidates on relevant evidence, analytical judgment, hands-on execution, customer and product-marketing ability, brand judgment, and autonomy. To apply: https://weworkremotely.com/remote-jobs/autogpt-gtm-lead

Headquarters: We are seeking an AI Engineer to develop AI-first applications and integrate custom models and infrastructure into an existing e-commerce platform. The role focuses on building agent-led product experiences, including internal automation, dynamic site customization, and customer-facing conversational commerce workflows.General informationThis engagement supports an e-commerce startup building a platform around conversational design and intelligent automation. The current objective is to extend the existing product with AI-native capabilities while building on top of the current backend and application stack.The work includes three core initiative areas: an internal AI employee for operational tasks, a fluid site customizer, and a customer-facing commerce agent designed to support one-prompt checkout experiences. The role will involve model integration, infrastructure setup, and product-facing implementation across both backend and UI surfaces.Tasks and Deliverables- Develop AI-first applications for an existing e-commerce platform.- Architect and implement autonomous e-commerce AI agents using open-source and proprietary foundation models.- Establish GPU infrastructure and data pipelines for model fine-tuning and deployment.- Integrate AI workflows with the existing stack, including MongoDB, Node.js, Express, React, and third-party APIs.- Build conversational UI components and backend logic for one-prompt checkouts and dynamic site customization.Required Experience- Strong expertise in AI/ML engineering and LLM integration.- Hands-on experience fine-tuning open-source models such as Llama or Mistral.- Experience building autonomous agents and conversational AI workflows.- Solid background in GPU infrastructure setup and optimization for training or inference.- Full-stack proficiency with MongoDB, Express, React, and Node.js.- Experience integrating REST APIs into production applications.Nice to have:- Familiarity with Stripe, Twilio, or OpenAI API integrations. To apply: https://weworkremotely.com/remote-jobs/toptal-ai-ml-engineer-for-an-ai-driven-e-commerce-platform

Headquarters: Remote URL: https://www.samsara.com/ About the role: Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We're still early in turning that data into the products that will define how physical operations run, and we're hiring the engineers who will build what comes next. We're approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale. We're looking for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform and product, and we're open to shaping scope around the right person's strengths and interests. That window won't stay open long. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn't metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor. You want to build, not maintain. Samsara is in full growth mode. We're building new systems from scratch, not babysitting old ones. You'd own entire problem spaces end to end, with the autonomy to set direction from day one. You want to work where AI meets the physical world. Samsara has spent a decade building the largest proprietary dataset for physical operations. More connected assets generate more data, more data trains better models, better models drive more value, and more value wins more assets. The market and the opportunity here are what set us apart, not just the models. You believe customers are more than a number. Samsara engineers have a rare closeness to end users. You'll participate in customer interviews, collaborate with product managers and customer success, and use that context to build products that solve real problems operators face every day. You have the curiosity and drive to figure it out. We're looking for people who take pride in their work and get things done at all costs. The engineers who thrive here don't wait to be told what to build. They define it, ship it, and own the outcome. The rate-limiting step on our teams isn't tooling or process. It's ambition. In this role, you will:  Take ownership of technically complex, mission-critical areas and run with them. We want to point you in a direction and show up to the demo meeting impressed, not spend our weeks managing the details. Define and drive technical strategy for new products and platform capabilities, from backend services and APIs to the customer-facing UI. Design and ship full-stack features end to end. You'll work across backend, frontend, and potentially mobile to deliver AI-powered products that solve real operational problems. Partner with product, design, and customer-facing teams to translate ambiguous, real-world problems into clear technical plans and measurable outcomes. Build and scale the systems behind AI-driven products, including data ingestion, APIs, and the workflows that put intelligence into the hands of operators. Raise the bar for the engineers around you through code reviews, design reviews, technical mentorship, and by setting a standard for quality, velocity, and craft. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. 8+ years of experience in software design and development, including building and operating production systems at scale. Strong full-stack fundamentals. You're comfortable working across backend services, APIs, and frontend (web or mobile) to ship complete products. Proficiency in modern languages and frameworks (Go, Python, TypeScript/JavaScript, React, or similar). Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable impact. Experience building AI-powered or data-driven products. You don't need to train models, but you know how to take AI capabilities and turn them into products customers love. Strong communication skills and the ability to translate between technical and non-technical stakeholders. A track record of building: zero-to-one products, systems you left in a meaningfully better place, or hard problems you refused to let stay unsolved. An ideal candidate also has: Experience shipping AI-powered features in production, whether that's LLM-based products, agentic workflows, recommendation systems, or other customer-facing AI. Comfort with modern AI-augmented development workflows (Cursor, LLMs, etc.) to multiply your output and accelerate delivery. Background working with real-world operational data (telematics, sensor data, work orders, inspections) or a strong interest in learning the domain. A proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team. Side projects, open-source contributions, or other signals of curiosity and drive outside the scope of your day job. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $162,400—$290,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. To apply: https://weworkremotely.com/remote-jobs/samsara-staff-software-engineer

Headquarters: Remote URL: https://www.thumbtack.com/ About the Finance Team The Thumbtack Finance team’s mission is to be a strategic finance partner to the business — enabling better decisions supported by data, building a world-class finance function, and doing it all with integrity. We work closely with every part of the organization to connect financial insight to business outcomes and help Thumbtack grow responsibly. Our team values clear thinking, sound analysis, and a genuine partnership with the leaders we support. About the role As the Senior Manager, Partnerships and Special Projects Business Finance, you’ll help define how we grow our business through our network of partners, build frameworks that enable us to scale efficiently, and influence strategic decision-making. This role will build the financial framework that powers one of our biggest growth levers. You’ll partner with Product, Marketing, Operations, Sales, and Finance leaders to evaluate where we should invest, how to scale partnerships profitably, and where opportunities exist to expand into new verticals. Approximately 25% of the role will focus on special projects designed to build scalable frameworks that help keep both sides of the marketplace in equilibrium and guide investment decisions accordingly. This is a strategic finance role for someone who can move beyond reporting and forecasting into business architecture, deal economics, decision support, and investment strategy. The ideal candidate is highly analytical, commercially minded, and comfortable bringing structure to ambiguous marketplace problems. What you’ll do Own and evolve the company’s partnership financial framework, helping teams develop sustainable financial strategies and evaluate valuation, payback periods, scenario analysis, and revenue-share structures Establish reporting infrastructure and KPI dashboards to monitor the ongoing ROI of partnerships, hold cross-functional partners accountable to financial commitments, and identify actions to improve performance when results are off track Develop business cases for major partner investments, pricing levers, supply acquisition, demand generation, and operational capacity Support annual planning, quarterly business reviews, and resource allocation by connecting partnership strategy and execution to the company’s financial goals Build executive-ready narratives that clearly explain marketplace performance, investment tradeoffs, risks, opportunities, and recommended actions Partner with Analytics and Data Science to build dashboards and decision tools that give business leaders visibility into partnership health and investment performance Lead special projects focused on developing scalable financial frameworks that inform marketplace investment decisions and help maintain healthy supply-and-demand dynamics In order to be successful, you must bring 6+ years of experience in strategic finance, FP&A, marketplace strategy, business operations, corporate strategy, consulting, analytics, or a related function Strong financial modeling skills, including experience with driver-based models, cohort models, unit economics, LTV/CAC, contribution margin, ROI analysis, scenario planning, and long-range planning Strong understanding of marketplace dynamics, including supply-and-demand balance, liquidity, matching, utilization, pricing, incentives, retention, and monetization Ability to translate complex analysis into clear, actionable recommendations for senior executives and cross-functional partners Excellent verbal and written communication skills, including the ability to build concise executive narratives and influence stakeholders across Finance, Product, Marketing, Sales, and Operations SQL, BI, AI fluency, or data visualization experience preferred but not required, depending on the analytics support model Expected salary ranges For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $191,300.00 - $247,500.00. For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $172,600.00 - $223,300.00. For candidates living in all other US locations, the expected salary range for this role is currently $162,400.00 - $210,100.00. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. To apply: https://weworkremotely.com/remote-jobs/thumbtack-sr-finance-mgr-partnerships-and-special-projects

Headquarters: Lithuania URL: https://www.mailerlite.com/company-values MailerLite is one of the fastest-growing email marketing services. We help more than 1 million businesses around the world stay in touch with their customers. Today, we are a team of more than 170 dreamers, adventurers, and world travelers passionate about what we do and what we believe in. And we are ready for another talented person to join the party. We are looking for an experienced Technical Product Manager with a great understanding of technology and a passion for enabling other teams. This is a role where your main customers are engineers and internal teams. You’ll work on the shared foundations and capabilities that other teams rely on to build and ship quickly, reliably, and at scale. Join us now.   Why MailerLite? You'll turn big ideas into realityWith ambitious plans for our product and team, you'll play a key role in making them happen—solving exciting challenges and driving changes that keep our own product-engineering teams stay fast and reliable, and our customers successful. You'll grow, develop and evolveAs part of a team that's always looking for new, innovative ways to offer value to customers, you'll constantly be experimenting, learning, and trying out new things. You'll take ownershipWe expect you to take full responsibility and ownership of your tasks. Team leads avoid micromanaging and minimize interruptions so you can stay focused on your assignments. You’ll have experts on handWhenever you’re stuck, your teammates with a wide range of expertise are ready to help you grow. And they’d love for you to share your knowledge too! You'll pick where you work, every dayWe embrace the remote culture. Every day you get to choose the environment makes you most productive. You'll have stabilityWe value a stable workplace! MailerLite has been thriving for over 10 years and our year-over-year growth continues to increase.   What you’ll work on Partnering with the technical lead to drive the strategy and roadmap for Platform, developing a deep understanding of what the platform needs next Working on initiatives in areas like: our public API and developer experience (versioning, documentation, observability), AI and agent interfaces such as MCP, deliverability and safety (keeping the platform clean for legitimate senders) Work with data and reporting platforms, collaborating closely with SRE on performance and scale Working on shared foundations that every other team depends on,  including our design system, and regulatory work Working collaboratively with customers, development, design, SRE, customer support, and marketing to deliver impactful features, seamlessly launch projects, and create excitement around the product — while driving innovative improvements that set the product apart Defining, analyzing, and optimizing metrics to grow MailerLite while measuring impact and reporting on progress Applying product management best practices including conducting product discovery, leveraging data insights, and exploring AI-driven innovations to uncover new product opportunities   What we expect from you 4+ years of experience working in a SaaS-focused company, including experience with platform, infrastructure, API or internal-tooling products - where your primary customers are other engineers, internal teams, or external developers Solid understanding or working knowledge of APIs and integrations, with experience scoping integration work with engineers Solid understanding of MCP and current AI trends, with an AI-first approach to your own work: research, documentation, delivery Strong collaboration and communication skills, with experience in aligning multiple product areas and stakeholders Experience working in agile environments alongside high-performing backend developers, leading on refinement, backlog grooming, sprint planning and prioritisation. Demonstrated understanding of modern product discovery and delivery techniques Strong analytical skills, such as the ability to leverage data and AI insights to uncover opportunities and drive product improvements Ability to take ownership of the end-to-end idea-to-product process and work as a self-directed member of the development team. Experience with ProductOps is a bonus Based in EMEA   What we offer Yearly gross salary range: USD 48,000 - 65,000 Remote-first culture: Our team works remotely from around  the world International health insurance: Provided with coverage in most countries, with a monthly payout available in select countries where coverage is limited Company-paid retreats: Once a year, we gather for a week to work, learn, and have fun together 31 days of vacation (including public holidays): We encourage you to unplug and recharge! 12 paid sick days: For your physical and mental well-being, no doctor's note required. Parents can use them to care for their sick children 4 creative days: One paid day off per quarter to do something creative and fun 12 parental days: Enjoy one paid day off each month to treasure time with your children Parental leave: 100% paid leave when welcoming a new child through birth (3 months maternity, 1 month paternity) or adoption Parenting budget of $1000: A $1000 special gift to celebrate the arrival of your little one, whether through childbirth or adoption Joy Budget: Annual allowance to spend on what brings you joy, starting at $1,000 per year and increasing over time MacBook and other tools: These help you to do your job efficiently To apply: https://weworkremotely.com/remote-jobs/mailerlite-technical-product-manager

Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code Our Tech Stack Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary) AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others) Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock Search & Retrieval: Vector databases, OpenSearch, embedding models Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability What We're Looking For Must-Haves 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows Data engineering background — robust, scalable pipelines for AI/ML workloads LLM operations experience — evals and observability for production LLM systems (quality, cost, latency) Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch) Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development Experience with Docker, Kubernetes, and AWS US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance) Nice-to-Haves Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies Graph data experience — knowledge graphs, graph databases, or graph-based retrieval Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates Research background, open-source contributions, or an advanced degree in ML/IR/NLP Why Join Collaboration AI? Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built. AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them. Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust. Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.   To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-ai-engineer-agentic-systems-data-pipelines

Headquarters: Minneapolis, MN URL: http://collaboration.ai Who We Are Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change. Our Products NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward. CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements. To learn more about us, visit collaboration.ai. About the Role You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge. This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise. Agents in production. Pipelines that hold. Evals that keep everyone honest. What You'll Do Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code Our Tech Stack Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary) AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others) Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock Search & Retrieval: Vector databases, OpenSearch, embedding models Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability What We're Looking For Must-Haves 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows Data engineering background — robust, scalable pipelines for AI/ML workloads LLM operations experience — evals and observability for production LLM systems (quality, cost, latency) Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch) Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development Experience with Docker, Kubernetes, and AWS US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance) Nice-to-Haves Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies Graph data experience — knowledge graphs, graph databases, or graph-based retrieval Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates Research background, open-source contributions, or an advanced degree in ML/IR/NLP Why Join Collaboration AI? Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built. AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them. Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust. Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.   To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-software-ai-engineer