Agentic AI Engineer – AWS Bedrock, LangGraph, RAG & Multi-Agent Systems
Core
Design, develop, and scale autonomous, production-grade multi-agent AI systems and advanced RAG solutions using AWS Bedrock to automate complex business processes.
Role type
Senior IC Agentic AI Engineer (Generative AI)
Builds
Autonomous reasoning, planning, memory, and tool-calling workflows; scalable AI solutions for enterprise operations.
Domain
Cloud-native Generative AI and Agentic Systems
Deliverable
production ML models
Required skills
Python (expert), AWS Bedrock, LangGraph, Multi-agent orchestration, RAG architectures, Vector databases, LLMOps, AI safety guardrails
Preferred skills
Model fine-tuning (PEFT/LoRA), Infrastructure as code, CI/CD, Cost-efficient system design
Technologies
AWS Bedrock, FastAPI, LangGraph, CrewAI, AutoGen, Pinecone, OpenSearch, pgvector, Chroma, AWS Lambda, AWS Step Functions
Responsibilities
Design multi-agent workflows with planners and validators; Implement reasoning mechanics (ReAct, CoT); Develop memory systems and autonomous task-execution engines; Deploy and scale foundation models via AWS Bedrock; Architect end-to-end data-ingestion and semantic search pipelines; Optimize AI systems for reliability, safety, and cost.
Seniority
Senior, hands-on IC
