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ML Engineer
Engineering Remote (Global)Full-timeMid
Build production AI features for our clients — RAG pipelines, evaluation harnesses, and LLM agents that actually ship.
What you'll do
- Design and ship RAG and agent systems on real production workloads
- Build evaluation harnesses with held-out test sets
- Optimize inference cost and latency
- Pair with backend engineers on data pipelines and infrastructure
- Stay current on the AI landscape and surface relevant techniques
What we're looking for
- 3+ years of applied ML or production AI engineering
- Hands-on experience with LLMs (OpenAI, Anthropic, or open-weight)
- Solid Python and SQL fundamentals
- Comfort with vector databases and embeddings (Pinecone, pgvector, Weaviate)
- Experience deploying ML systems to production
Nice to have
- Fine-tuning or RLHF experience
- Computer vision background
- Published research or open-source ML projects
Compensation
Competitive + equity + remote stipend
Apply
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