AI/ML Engineer – End-to-End Agents & LLMs (Hybrid)

Harnham; California; Hybrid; USD 315,000 - 385,000; Full time

Job summary

Harnham is seeking an AI/ML Engineer (All Levels) in the San Francisco Bay Area with hybrid work options. The role focuses on architecting and deploying multi-step AI agents, RAG pipelines, and knowledge representations in a production environment.

You will work on code generation features, model selection, and evaluation strategies that scale for enterprise data. Ideal candidates have 4–6+ years of software engineering with AI/ML depth, strong Python skills, and hands-on experience with LLM

Qualifications

• 4-6+ years software engineering with AI/ML depth
• Proven experience shipping AI agents in production
• Strong Python and data infra experience (RAG, vector DBs, KG)

Responsibilities

• Architect multi-step AI agents end-to-end
• Own RAG pipelines, vector retrieval, knowledge representations
• Build AI layer behind core code generation capability
• Ensure production AI operates at scale (latency, throughput, observability)
• Think in failure modes and evaluation loops

Skills

Python

AI/ML depth

LLM APIs

RAG pipelines

Vector databases

Prompt engineering

AWS

Kubernetes

Go/Scale experience

Tools

Databricks

Snowflake

BigQuery

Spark

Job description

Harnham is seeking an AI/ML Engineer (All Levels) in the San Francisco Bay Area with hybrid work options. The role focuses on architecting and deploying multi-step AI agents, RAG pipelines, and knowledge representations in a production environment.

You will work on code generation features, model selection, and evaluation strategies that scale for enterprise data. Ideal candidates have 4–6+ years of software engineering with AI/ML depth, strong Python skills, and hands-on experience with LLM