Founding AI Engineer | LLM Systems
Open Talent
About the role
About
A venture-backed frontier AI company is hiring a founding AI engineer to build production LLM systems for mission-critical aerospace, defence & industrial operations.
The work is already in production, close to users, and held to a serious technical bar. You’ll own retrieval, evaluation, grounding, latency & reliability across LLM-driven systems tied to real operational workflows.
You’ll own retrieval, evaluation, grounding, latency & reliability across LLM-driven systems already tied to live operational workflows. The work sits close to technical users, domain experts & founders - so you’ll see the impact of what you ship.
What You’ll Do
- Own and improve production-grade RAG pipelines across hybrid search, reranking, embeddings & answer quality
- Optimise retrieval performance across precision, recall, latency, grounding & hallucination control
- Build scalable architecture for inference, caching, evaluation & monitoring
- Work on document intelligence, agentic workflows & technical decision systems
- Collaborate directly with founders, engineers & domain experts to ship fast without dropping the bar
You’re a Fit If You Have
- 5+ years building serious software, ML or AI systems
- Production experience with LLMs, RAG, retrieval, evals or agentic workflows
- Strong Python, backend & systems instincts
- Hands-on experience with vector DBs, PyTorch, FastAPI, LangChain/LlamaIndex or similar
- A track record shipping real systems - not demos
- Startup, defence, aerospace, infra, fintech or hard-tech background preferred
- High ownership, low ego, strong technical judgement
Stack
Python / PyTorch / FastAPI / Postgres / Redis / Docker / Kubernetes / Vector DBs / AWS or GCP
Offer
- Up to $500,000+ base + equity
- SF, Seattle or LA-based engineers considered
- Regular NYC presence expected - relocation strongly preferred for the right person
- Top-tier backing
- Small elite team
- Fast decisions, high standards, serious ownership
Process
- Technical Deep Dive
- Assessment or Live Pairing
- Founder / Team Fit
Fast: 2 weeks total.
If you’re in the top 1% of AI engineers and want to build systems that matter outside a demo environment, apply now.
Our new AI-1st roles here first:
linkedin.com/in/sufyanbashir
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