Remote in the United States, Colorado, United States Position Overview: MyOme is looking for an experienced and pragmatic individual to join our integrations and portal team. This position will help enable patients and providers to order testing and understand results, bringing clarity and ease of use to complex genetics results. The successful candidate will demonstrate knowledge of healthcare data and an eagerness to build value through fast prototyping and iteration. What You'll Do: Add new features to our backend systems to support portal enhancements Support integration partners through reusable feature builds Create test data to aid in the design and development of our systems Develop new APIs Contribute to the team through code reviews and design discussions Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement Balance quick wins with long-term technical sustainability Location, Compensation, and Benefits: Location: Remote in the US Compensation: Annual base salary range is $160,000 - $200,000, based on experience What You'll Need: No specific degree prerequisite. If you can do the work well and humbly, we want to talk with you. 6+ years of software development experience 2+ years of healthcare/biotech experience Experience with HIPAA compliance and healthcare software, or other privacy-focused frontends Proven track record of building and deploying production-grade web applications Experience with CI/CD pipelines Comfortable in Python/Django Comfortable with designing APIs Preferable experience in genetics

Miami Shores, FL, United States Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Design, develop, and optimize REST and GraphQL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience. Restrictions Telecommuting is OK Agencies are OK Requirements 3+ years of professional experience as a backend developer, with strong expertise in Python. Proficient in building and maintaining RESTful and GraphQL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments. Preferred Qualifications: Visible contributions to open source (e.g., GitHub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development. About the Company micro1 matches companies with skilled, pre-vetted software developers worldwide.

Miami Shores, FL, United States Job Description We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms. Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam Solid experience in Python backend development Familiarity with frameworks like FastAPI, Flask or Django Practical experience using AWS, Azure or GCP Proven background building REST APIs and microservices Sound knowledge of relational and/or NoSQL databases Exposure to CI/CD, testing and modern software engineering practices Excellent analytical and problem-solving abilities Nice to have Working knowledge of Docker and Kubernetes Background in serverless architectures Familiarity with data pipelines or event-driven architectures Understanding of Terraform or infrastructure as code We offer/Benefits Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Miami Shores, FL, United States Job Description Role Overview: This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 3+ years of strong experience with Python programming language. Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Python’s testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills