LLM Deployment Engineer
Core
Design and build end-to-end data pipelines and agentic AI systems using LLMs on AWS for enterprise automation and data architecture.
Role type
Senior IC AWS AI Engineer (LLM Deployment & Data Architecture)
Builds
Production-grade agentic AI systems, RAG pipelines, and scalable cloud-native data architectures
Domain
Cloud Infrastructure (AWS) + Generative AI + Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, AWS services (S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, Bedrock), LLMs & Agentic AI, Data pipelines (ETL/ELT), RAG & vector search, System design
Preferred skills
AWS certifications (Solutions Architect, Data Analytics, ML Specialty), Document intelligence, Multi-modal AI
Technologies
Amazon Bedrock, OpenAI, Anthropic Claude, LangChain, LlamaIndex, CrewAI, AutoGen, Pinecone, OpenSearch, pgvector, S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift
Responsibilities
Design and build end-to-end data pipelines for ingesting, transforming, and serving structured and unstructured data; Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning; Build multi-agent orchestration workflows; Design RAG pipelines connecting data sources to LLMs; Lead AWS data architecture; Develop prompt engineering strategies and fine-tuning approaches; Mentor junior engineers and lead code reviews; Engage client stakeholders to scope AI/data use cases
Seniority
Senior, hands-on IC with leadership responsibilities