Senior AI/ML Engineer (GenAI, AWS)
Core
Build and ship production GenAI systems, agentic workflows, and RAG solutions for enterprise clients in Financial Services, Insurance, and Healthcare.
Role type
Senior IC AI/ML Engineer (GenAI, Agentic Systems)
Builds
Production-grade agentic AI solutions, RAG systems, and cloud-native AI pipelines for client environments.
Domain
Financial Services, Insurance, Healthcare, Life Sciences
Deliverable
production ML models | product features
Required skills
Agentic orchestration, LLM API integration, RAG system optimization, AWS cloud infrastructure, Python/TypeScript, LLMOps practices, model evaluation, cost/latency optimization
Preferred skills
MCP (Model Context Protocol), A2A (agent-to-agent), Go/Rust/TypeScript, Apache Spark/Airflow/Kafka, industry domain knowledge
Technologies
AWS Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, Anthropic Claude, Kubernetes, GitHub Actions, GitLab CI
Responsibilities
Build and optimize RAG systems for production, develop evaluation harnesses before feature implementation, integrate AI components into backend services, implement LLMOps and AgentOps practices, mentor junior engineers, conduct code reviews
Seniority
Senior, hands-on IC