Senior Engineer

Join Boston Scientific at the forefront of AI innovation in healthcare. As a Principal / Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal-driven agents powered by large language models (LLMs) and multi-agent frameworks, transforming healthcare delivery and solutions. This role is based in Gurgaon, India, with potential for additional locations in Haryana, India.

Responsibilities include:

• Design and implement agentic AI systems using LLMs for reasoning, multi-step planning, and tool execution.
• Evaluate and build upon multi-agent frameworks like LangGraph, AutoGen, and CrewAI to coordinate distributed problem-solving agents.
• Develop context-handling, memory, and API-integration layers for reliable agent interaction with internal and third-party tools.
• Create feedback-loop and evaluation pipelines (e.g., LangSmith, RAGAS, custom metrics) to measure factual grounding, safety, and latency.
• Own backend services that scale agent workloads, optimize GPU/accelerator utilization, and enforce cost governance.
• Integrate observability, drift monitoring, and alignment guardrails throughout the agent lifecycle.
• Collaborate with research, product, and security teams to translate emerging agentic patterns into production-ready capabilities.
• Mentor engineers on prompt engineering, tool-use chains, and best practices for agent deployment in regulated environments.

Required Qualifications:

• 8+ years of software engineering experience, with at least 3 years focused on AI/ML or NLP systems.
• Expertise in Python and modern LLM APIs (e.g., OpenAI, Anthropic), and agentic orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex).
• Proven track record of delivering agentic systems or LLM-powered applications that interact with external APIs or tools.
• Deep understanding of vector databases (e.g., Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval-Augmented Generation (RAG) pipelines.
• Hands-on experience with LLMOps, including CI/CD for fine-tuning, model versioning, performance monitoring, and drift detection.
• Strong background in cloud-native microservices, security, and observability.

Preferred Qualifications:

• Experience integrating multimodal agents (vision, audio) and reinforcement-learning feedback loops.
• Contributions to open-source agent frameworks or publications on autonomous AI.
• Certifications in cloud GenAI services (e.g., AWS Bedrock, Azure OpenAI).
• Domain knowledge in healthcare, cybersecurity, or other regulated industries.

Requisition ID: 608518