Senior AI Agent Engineer (Intelligence Service)
Core
Design, serve, and operate RAG-based agent orchestration to enable interactive knowledge agents to provide accurate and reliable answers.
Role type
Senior IC AI Agent Engineer (Intelligence Service)
Builds
Production RAG-based agent systems with query understanding, planning, tool routing, retrieval, and response generation flows.
Domain
Generative AI, Large Language Models (LLM), Agent Orchestration, Retrieval-Augmented Generation (RAG)
Deliverable
production ML models
Required skills
Python, Backend/AI service design and operations, RAG, LLM application development, LLM agent orchestration, Log and metric analysis for quality improvement, System architecture design
Preferred skills
LangGraph, Tool calling, Planner/synthesizer development, Hallucination defense and guardrails, LLM evaluation frameworks (RAGAS), Vector search (OpenSearch, Elasticsearch, MongoDB Atlas), Embedding and reranking, AWS/Kubernetes/Helm/Kafka operations, Vehicle/Voice assistant experience, Technical leadership and mentoring
Technologies
Python, LangGraph, OpenSearch, Elasticsearch, MongoDB Atlas, AWS, Kubernetes, Helm, Kafka
Responsibilities
Design and optimize RAG-based agent flows from query understanding to response generation; Implement logic for grounding, answer verification, guardrails, and fallbacks to prevent hallucination; Build evaluation harnesses, regression tests, and A/B testing systems for answer quality; Establish backend infrastructure including API contracts, caching, and prompt registries; Analyze operational logs and quality metrics to improve latency and failure cases; Lead design reviews and technical decision-making.
Seniority
Senior, hands-on IC with technical leadership
