Senior AI Engineer (AWS Bedrock)
Core
Design and ship production-grade Generative AI systems on AWS, including RAG pipelines, agent-based workflows, and LLM-powered backend services for startups.
Role type
Senior IC AI Engineer (GenAI Systems)
Builds
Production-ready GenAI systems, AI agents, and intelligent document processing services
Domain
Cloud Infrastructure (AWS) + Generative AI
Deliverable
production ML models
Required skills
Amazon Bedrock, RAG pipelines, LLM orchestration, Python, Vector databases, AWS infrastructure (IAM, Lambda, S3, DynamoDB, SageMaker), Multi-agent systems
Preferred skills
AWS Strands, MCP, Infrastructure as Code (Terraform/CDK), Docker, Kubernetes, CI/CD, Voice AI, Model fine-tuning
Technologies
Amazon Bedrock, AgentCore, AWS Strands, MCP, OpenSearch, pgVector, Pinecone, Lambda, S3, DynamoDB, SageMaker, CloudWatch, Terraform, CloudFormation, AWS CDK, Docker, Kubernetes
Responsibilities
Build and deliver production-ready GenAI systems on AWS; Design and implement AI agents using Amazon Bedrock AgentCore and modern orchestration frameworks; Evaluate and select LLMs based on accuracy, latency, and cost; Deploy, monitor, and improve ML/LLM systems in production; Work with AWS services including Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
Seniority
Senior, hands-on IC
