About this opportunity
Harnham lists this Staff & Principal AI/ML Engineer opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
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 in senior technical leadership to define how AI gets built across the company.
This is a role for someone who sets technical direction, not just executes it. You'll shape agent architecture, evaluation strategy, and retrieval systems at the core of the platform, leading large-scale initiatives from design through to production with real ownership over outcomes. The scope is intentionally open-ended, and strong engineers have enormous leverage here.
What You'll Do
Set technical direction across multi-step agent architecture, RAG pipelines, and knowledge retrieval systems, making the calls on agent design, model selection, and build vs. buy
Own the AI behind the platform's core code generation capability, from prompt design and fine-tuning through to output validation at scale
Lead large, complex initiatives end-to-end with minimal direction, defining the problem as much as the solution
Shape how production AI gets built across the team, establishing standards for evaluation, observability, and reliability
Influence architectural decisions across the broader engineering organisation and mentor engineers at all levels
Requirements
8+ years of software engineering experience with significant AI/ML depth and a track record of technical leadership
Demonstrated experience owning and shipping AI agents or coding agents in production at scale
Strong Python skills with deep hands-on experience across RAG, vector databases, and knowledge graphs (Neo4j)
Ability to make architectural decisions under uncertainty and drive them through to production
Experience with AWS and Kubernetes, and comfort operating across the full AI development lifecycle
Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong plus
Scala or Go experience is a bonus
If you're a technical leader who defines problems as much as you solve them, thrives in ambiguity, and wants to shape how AI is built at a company scaling toward its next funding round, this is the opportunity.
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.