Senior Engineer - Agentic AI

Additional Locations: India-Haryana, Gurgaon

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Senior Engineer - Agentic AI

Join Boston Scientific’s innovative AI team as we redefine the future of healthcare through next-generation autonomous systems. As a Senior Engineer – Agentic AI, you will contribute to the design, development, and integration of intelligent agents built on large language models (LLMs) and state-of-the-art orchestration frameworks. This role is ideal for technically strong engineers with early experience in agentic or LLM-driven applications and a passion to grow in the field.

• Develop agentic AI components that utilize LLMs for structured reasoning, planning, and decision-making tasks.
• Implement and prototype features within frameworks like LangChain, AutoGen, LangGraph, or CrewAI.
• Contribute to memory and context integration layers, enabling agents to work reliably with internal APIs and third-party services.
• Participate in building and refining RAG pipelines, including vector database integration (e.g., FAISS, Weaviate, Azure AI Search).
• Assist in the construction of evaluation and feedback systems (e.g., LangSmith, RAGAS, logging metrics) to ensure safety and reliability.
• Collaborate in building scalable backend services that support agent task execution, prompt chaining, and model inference.
• Partner with senior engineers and researchers to bring agentic capabilities into secure, production-ready systems.
• Contribute to documentation, unit testing, and observability features across the AI stack.

Required Qualification:

• 8+ years of experience in software engineering, with at least 2+ years working with Generative AI.
• Proficiency in Python, and experience using LLM APIs (OpenAI, Anthropic, HuggingFace, etc.).
• Exposure to agent orchestration tools (LangChain, AutoGen, LangGraph, or CrewAI).
• Familiarity with vector databases (Azure AI Search, FAISS, Pinecone, pgvector) and RAG architectures.
• Solid understanding of cloud services (e.g., Azure, GCP, AWS), REST APIs, and containerization (Docker, Kubernetes).
• Demonstrated ability to work in collaborative, agile teams with mentorship from senior engineers.

Preferred Qualification:

• Experience with LLMOps pipelines: prompt versioning, model evaluation, CI/CD for ML workflows.
• Understanding of prompt engineering principles and safety alignment strategies.
• Prior work in regulated environments (healthcare, finance, etc.) is a plus.

Requisition ID: 610999

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!