Gen AI Engineer
Core
Building high-performance API services and implementing complex RAG and Agentic AI architectures for Fortune 1000 clients.
Role type
Senior Generative AI Engineer (RAG & Agentic AI)
Builds
Production-grade Gen AI applications, autonomous agents, and RAG pipelines
Domain
Generative AI, Large Language Models (LLMs), Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, AWS infrastructure, Generative AI/LLM APIs, RAG pipeline design, Agentic AI development, DevOps, CI/CD, ML pipelines, LLM orchestration, Vector stores (Pinecone, Weaviate, pgvector), LangChain, CrewAI, Semantic Kernel, Evaluation frameworks (RAGAS, TruLens)
Preferred skills
AWS Bedrock Agent/Core services
Technologies
Python, AWS, Bedrock, LangChain, CrewAI, Semantic Kernel, Pinecone, Weaviate, pgvector, RAGAS, TruLens
Responsibilities
Design and implement end-to-end RAG pipelines with retrievers and vector stores; Develop autonomous or semi-autonomous agents with robust error handling; Optimize latency and relevance for production performance; Manage memory and context in multi-turn interactions; Integrate Generative AI/LLM APIs and orchestrate LLM workflows; Build and maintain CI/CD and ML pipelines within AWS ecosystem.
Seniority
Senior, hands-on IC