Licensed Marriage and Family Therapist (LMFT) $70K-85K/yr Position Requirement: Remote Full-Time and Part-time Positions Available If you are looking for a new opportunity to grow with a clinician founded and clinician led organization, look no further!

Location: Remote Hours: 38. 5 hours per week across 5 days, Monday to Saturdays 8am to 8:30pm (Bank holidays 10am to 4pm) Salary: £26,850 Hi!

ABOUT APPLYAPPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands.

Be Challenged and Make a DifferenceIn a world of technology, people make the difference.

About the CompanyOur client is a fast-growing Australian creative marketing agency that partners with businesses to produce high-performing video content for digital marketing, social media, and advertising campaigns.

Overview: As a telephonic interpreter for Nuer in LSA’s network of Independently Contracted Interpreters, you are responsible for handling telephone calls on demand and facilitating language communication for the Limited English Proficient (LEP) community in a variety of settings.

Cadence is the clinical AI company automating the treatment of chronic disease.

The Managed Services Analyst II role delivers excellent customer service to both internal and external clients, assisting them with GHX products or services.

Headquarters: Remote URL: https://www.toptal.com/ About the Role Join the continued build-out of a production-grade surplus lines platform — a system already handling real policy processing, compliance workflows, and reporting for an active business. This isn't a greenfield project or a maintenance gig: you'll step into a complex, live system, understand its workflows quickly, and independently own solutions across the full stack. If you're a strong engineer first — comfortable across frontend, backend, and workflow orchestration — this is a long-term engagement with real technical depth. What You'll Do Design, develop, and maintain full-stack application features across frontend and backend systems Build and support integrations with third-party systems and APIs Develop workflow-driven processes using Temporal Build scalable APIs and backend services using Python Maintain and optimize relational databases using PostgreSQL Develop reporting and analytics capabilities using charting libraries Contribute to AI-enabled features and integrations within the platform Improve CI/CD pipelines and deployment processes Participate in architecture discussions and help shape long-term technical direction Work closely with business and technical stakeholders to deliver production-ready solutions What You Bring 7+ years of full stack software engineering experience Strong proficiency in Python, with solid backend API development experience Strong frontend experience with modern web frameworks Proven experience designing and building scalable applications with sound architecture Hands-on experience with Temporal and workflow orchestration patterns Familiarity with asynchronous processing and event-driven systems Strong PostgreSQL, SQL, and data modeling experience Experience building reporting dashboards using charting libraries such as Chart.js, D3.js, or Plotly Experience with CI/CD pipelines, containerized deployments, and cloud environments Strong English communication skills, with availability during U.S. business hours Nice to Have Experience in insurance, surplus lines, or compliance-based applications Experience integrating with third-party vendors and external APIs Experience with AI tooling, LLM integrations, and context engineering Experience building intelligent automation features To apply: https://weworkremotely.com/remote-jobs/toptal-full-stack-engineer-python-temporal-remote-latam-europe

Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evaluate, and iterate on agent, RAG, and platform performance in production Stay current with fast-moving developments in Bedrock, AgentCore, and agentic AI systems, and bring relevant advances into the project What You Bring Proven, hands-on experience building and deploying AI agents on AWS Bedrock AgentCore in a production environment — not personal projects or tutorials Direct experience with AWS Bedrock's agentic tooling (AgentCore, Bedrock Agents, or equivalent Bedrock-native orchestration) Strong Python skills for AI application development and/or service integration Working experience with AWS cloud environments; Azure experience is a plus but not the primary requirement Experience with at least one of: agent orchestration frameworks (LangChain, LangGraph, LlamaIndex), RAG system design, or AWS production infrastructure (Lambda, API Gateway, IAM, DynamoDB, OpenSearch) Experience with observability and monitoring for AI or distributed systems Strong understanding of security, data handling, and production-readiness tradeoffs Comfortable working in a fast-moving, evolving technical environment with pragmatic engineering judgment Nice to Have Experience with MCP servers Experience with infrastructure-as-code (CDK, CloudFormation) and CI/CD pipeline design Experience with distributed data tools such as Apache Spark, PySpark, or AWS EMR Experience with Amazon SageMaker or similar ML platforms Experience with OpenSearch vector search administration for RAG workloads Experience building data pipelines for AI evaluation and KPI extraction Experience with Azure OpenAI or other non-AWS LLM platforms Comfort working in an AI-assisted development environment using AI build and review tools How to Apply Ready to build production agentic systems on AWS Bedrock AgentCore? Apply through Toptal here: https://www.toptal.com/talent/apply   To apply: https://weworkremotely.com/remote-jobs/toptal-ai-engineer-aws-bedrock-agentcore-production-agentic-systems-latam-europe