Member of Technical Staff LLM/AI - MTS

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Responsibilities not listed.

• 2-4 years of experience in a software engineering role, with exposure to AI/ML concepts
• Familiarity with working in an Agile environment preferred
• Bachelor’s Degree or equivalent in Computer Science, Engineering, or a related field
• Software engineering experience, with exposure to AI model integration and generative AI frameworks
• Knowledge of modern programming language such as Python - preferred for AI applications
• Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies
• Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB)
• Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks
• Understanding of GenAI model deployment in cloud environments (AWS or Azure)
• Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering

• Deliver customer value in the form of high-quality software components and AI-powered services
• Estimate the size of development tasks in story points
• Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications
• Implement and optimize GenAI-based workflows
• Learn the domain knowledge for the assigned area, including how GenAI solutions can improve product offerings
• Take ownership of GenAI-powered features and AI-driven automation post-release, ensuring continuous improvement
• Participate in AI use case discussions, including LLM fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and AI-based automation
• Contribute to agile ceremonies to improve team performance
• Volunteer for work in the backlog, including GenAI model integration tasks, and commit to high-quality delivery
• Participate in scrum meetings (daily stand-ups, sprint planning, readouts, and retrospectives)
• Help determine how GenAI is leveraged effectively in collaboration with cross-functional teams

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