Senior Machine Learning Engineer
Core
Senior Machine Learning Engineer owning LLM-powered systems end-to-end for clients, building production-grade AI solutions from proof of concept to trusted workflows.
Role type
Senior IC machine-learning engineer (LLM systems)
Builds
Production LLM systems, RAG pipelines, agents, and client-facing AI solutions
Domain
AI consulting, Large Language Models, Enterprise Software
Deliverable
production ML models
Required skills
Python, LLM system design, evaluation frameworks, RAG, MCP, orchestration frameworks, cloud deployment, CI/CD, cost/latency engineering, security/privacy
Preferred skills
LLM observability, LLM-as-judge, fine-tuning, deep learning, MLOps, model serving, voice interfaces, regulated domain experience
Technologies
Python, AWS (Bedrock, SageMaker, Lambda, ECS, S3), GCP, Azure, LangChain, LangGraph, LlamaIndex, Pydantic AI, vLLM, Ollama, MLflow, W&B, DVC
Responsibilities
Design and run evals for LLM features, build RAG pipelines and orchestration workflows, deploy AI/ML workloads to cloud, manage CI/CD and engineering hygiene, consult with clients on trade-offs and sizing
Seniority
Senior, hands-on IC
