Junior AI/ML Engineer (GenAI, AWS)
Core
Build and contribute to RAG systems, AI components, and backend services for enterprise clients in Financial Services, Insurance, and Healthcare using AWS and Anthropic tools.
Role type
Junior IC machine-learning engineer (GenAI, RAG, AWS)
Builds
Bespoke AI applications, managed services, and AI Blueprints (Submission Flow, Portfolio Lens, etc.) for enterprise clients.
Domain
Financial Services, Insurance, Healthcare & Life Sciences
Deliverable
production ML models | product features
Required skills
Python, TypeScript, RAG systems, AWS (Lambda, S3, ECS), containers, CI/CD, LLM APIs, model evaluation, cost/latency trade-offs
Preferred skills
Anthropic/Claude ecosystem, Go/Rust, Apache Spark/Airflow/Kafka, agent-to-agent interoperability, spec-driven development, MCP
Technologies
AWS, Anthropic, Claude Code, Python, TypeScript, Lambda, S3, ECS, GitHub Actions, GitLab CI
Responsibilities
Build RAG system components, write tests and evaluation harnesses, write production code across the stack, integrate AI components into backend services, support AWS deployments, contribute to documentation, participate in technical discussions, support model evaluation efforts.
Seniority
Junior, hands-on IC