AI/ML Engineer

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Redwood City, CA / $250000 - $350000 annum

INFO

Salary

SALARY:

$250000 - $350000

Location

LOCATION

Redwood City, CA

Job Type
JOB TYPE

Permanent

Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

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.



CONTACT

George Ethell

Principal Recruitment Consultant

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