AI/ML Engineer
Listed on 2026-10-30
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
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
- 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, Big Query, 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.
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