Senior Agentic AI Engineer - Remote

Job Description

We are seeking a highly skilled GenAI / Agentic AI Engineer to design, build, and deploy autonomous, LLM-powered systems that solve complex business problems at scale. This role focuses on agentic workflows, retrieval-augmented generation (RAG), tool orchestration, evaluation, and production deployment of GenAI systems.

You will work at the intersection of LLMs, systems engineering, and applied ML, building intelligent agents that reason, plan, interact with tools, and operate reliably in real-world environments-particularly across regulated domains such as healthcare.

Job Duties

Agentic AI & GenAI System Development

• Design, build, and deploy agentic AI systems using LLMs, tools, memory, and planning frameworks.
• Implement multi-agent and single-agent workflows for autonomous task execution, decision support, and orchestration.
• Develop tool-using agents (function calling, structured outputs, APIs, databases, workflows).

Retrieval-Augmented Generation (RAG)

• Design and optimize RAG pipelines, including document ingestion, chunking strategies, embeddings, vector stores, and retrieval ranking.
• Implement advanced retrieval techniques (hybrid search, metadata filtering, re-ranking, query rewriting).
• Evaluate and tune RAG systems for accuracy, latency, grounding, and hallucination reduction.

Model Adaptation & Optimization

• Fine-tune and adapt foundation models (instruction tuning, LoRA, adapters) for domain-specific use cases.
• Optimize prompts, schemas, and system instructions for reliability and determinism.
• Apply reinforcement or feedback-driven optimization where applicable (human or automated eval loops).

Evaluation, Monitoring & Governance

• Define evaluation frameworks for GenAI systems, including task success, factuality, grounding, latency, and cost.
• Build monitoring and observability for agent behavior, tool calls, and failure modes.
• Partner with governance and risk team...