Senior AI Engineer
Core
Design, build, and operationalize scalable enterprise-grade Generative AI and Agentic AI solutions delivering trusted intelligence across the business.
Role type
Senior hands-on IC Generative AI Engineer
Builds
LLM-powered GenAI and Agentic AI solutions, RAG pipelines, multi-agent workflows, and production-grade AI applications
Domain
Life Sciences / Healthcare / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PyTorch, TensorFlow, Langchain, Langflow, vector databases, RAG architecture, cloud infrastructure (AWS/Databricks), CI/CD automation, data engineering, backend services, UI components, model fine-tuning, prompt optimization, observability, security guardrails
Preferred skills
multi-agent AI systems design, AI TCO/ROI strategy, team mentoring, regulated industry background, MCP/Agent2Agent protocols
Technologies
AWS, Databricks, GitHub Actions, LangGraph, CrewAI, Swarm, Adversarial Robustness Toolbox
Responsibilities
Design and implement end-to-end LLM-powered GenAI and Agentic AI solutions including RAG pipelines and multi-step reasoning systems; Build and optimize retrieval pipelines using vector databases, hybrid search, and reranking; Develop agent orchestration patterns and context-management strategies for multi-agent workflows; Evaluate and select foundation models and implement fine-tuning and parameter-efficient adaptation; Collaborate with infrastructure teams to enable scalable, secure cloud infrastructure for GenAI workloads; Design, build, and maintain scalable data pipelines, backend services, and APIs powering AI-driven applications; Implement monitoring for quality, hallucinations, drift, and latency; Mentor peers and drive reusable AI patterns and enablement programs
Seniority
Senior, hands-on IC