AI/ML Engineer

Harnham; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Harnham is seeking a senior AI/ML focused software engineer to own the intelligence layer of a next-gen data platform. You will architect multi-step AI agents, design RAG pipelines, and shape model selection and evaluation strategies—shipping directly to Fortune 500 customers.

The role requires 4-6+ years in software engineering with deep AI/ML experience, strong Python skills, and hands-on production deployments using AWS, Kubernetes, and vector databases.

Qualifications

• 4-6+ years of software engineering experience with meaningful AI/ML depth.
• Proven experience building and shipping AI agents or coding agents in production.
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs.
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production.
• Familiarity with AWS and Kubernetes for production AI deployment.
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus.
• Scale or Go experience is a bonus.

Responsibilities

• Architect multi-step AI agents end-to-end for enterprise data platforms.
• Own RAG pipelines and vector/graph-based retrieval systems.
• Build the AI layer for code generation capabilities, including prompt design and fine-tuning.
• Ensure production AI systems balance latency, throughput, and observability.
• Plan for failure modes and evaluation strategies, driving the improvement loop.

Skills

AI/ML depth

Production AI agents

Python

RAG

AWS

Kubernetes

Vector databases

Knowledge graphs

Tools

Databricks

Snowflake

BigQuery

Spark

Job description

We're partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY'24 and 160% net revenue retention, they're scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you'll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You'll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform's core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you're a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year's best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world's largest enterprises.