Member of Technical Staff

Job Title: Member of Technical Staff LLM/AI

We are working to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

As a key member of our technical team, you will play a vital role in the development and implementation of cutting-edge technologies that transform the way we deliver care.

Primary Function: Technical Execution (80%)

• Contribute to accurate technical design specifications with GenAI-based system integration.
• Deliver high-quality software components and AI-powered services while ensuring security, performance, longevity, and AI model integration best practices.
• Estimate development task sizes in story points.
• Understand coding conventions, AI model integration architectures, and best practices for working with LLMs.
• Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications.
• Adhere to the Definition of Done as part of the sprint, including unit tests, functional testing, code reviews, API performance validation, AI model evaluation, and prompt tuning.

Contributions to the Team (10%)

• Learn domain knowledge for assigned areas, 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.

Cross-functional Coordination and Communication (5%)

• Collaborate across Technology, Product, and AI/ML teams to ensure alignment toward GenAI integration goals.
• Build strong relationships with AI engineers, data scientists, and cross-functional team members to leverage AI capabilities in products.

Mentorship of Others (5%)

• Share knowledge on GenAI best practices, AI integration strategies, and API-based AI services with team members.
• Participate in AI/ML discussions, helping others learn how to integrate and optimize GenAI models in software applications.

Requirements

• 2-4 years of experience in software engineering, 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 AI model integration and generative AI frameworks.
• Knowledge of modern programming languages like Python for AI applications.
• Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies.
• Experience with AI APIs and frameworks like OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases.
• Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks.
• Understanding of GenAI model deployment in cloud environments like AWS or Azure.
• Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering.

Behaviors & Abilities

• Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration.
• Ability to write performant, scalable, and maintainable code for AI-powered applications.
• Critical thinking skills to assess AI-generated outputs and improve model reliability.
• Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges.
• Proven track record of delivering AI-integrated features while following best practices in software development.
• Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers.
• Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.

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