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Member of Technical Staff LLM / AI - MTS

Member of Technical Staff LLM / AI - MTS

ConfidentialChennai, India
9 days ago
Job description

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

Responsibilities may include, but are not limited to :

80% [Primary Function] Technical Execution

  • Contribute to accurate, unambiguous technical design specifications with appropriate detail, including GenAI-based system integration.
  • Deliver customer value in the form of high-quality software components and AI-powered services while ensuring adherence to security, performance, longevity, and AI model integration best practices.
  • Estimate the size of development tasks in story points.
  • Understand and follow coding conventions, AI model integration architectures, and best practices for working with LLMs (Large Language Models).
  • Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications.
  • Adhere to Definition of Done (DOD) as part of the sprint, including unit tests, functional testing, code reviews, API performance validation, AI model evaluation, and prompt tuning.
  • Implement and optimize GenAI-based workflows (e.g., OpenAI APIs, LangChain, vector databases for RAG, AI-driven automation).

10% Contributions to the Team

  • 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.
  • 5% Cross functional Coordination and Communication

  • Work collaboratively across the 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.
  • 5% Mentorship of Others

  • 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.
  • Education, Experience, & Skills Required :

  • 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.
  • Behaviors & Abilities Required :

  • 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.
  • Skills Required

    Sql, Nosql, Big Data, Distributed Computing, Aws, Python, Azure, Restful Apis

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