Engineers who can be trusted with AI in production
Tell us the role, the headcount and the timeline. We shortlist from a trained bench with assessment scores and work samples attached, so you can judge before you meet anyone — and you interview every person before they start.
What you can hire
Forward Deployed AI Engineers · 2–6 years, AI-native
Engineers who sit inside your team and take an AI system from prototype to production — legacy data, hybrid retrieval, stateful agents, evals and cost. They have delivered against the failure modes, not just the tutorials.
Trained AI engineers · Early career, assessed
Graduates and career-switchers who have completed the same curriculum and passed the same scored assessment. Supervised by an FDE on delivery, so they are productive inside a team rather than left to find their own way.
How it works
- Tell us the role — this form takes about a minute.
- We shortlist, with assessment scores and work samples attached.
- You interview and decide. Onboarding follows your clearance process.
What the training is made of
Built from 109 verified production case studies across 68 companies — real engineering accounts of what shipped, what was measured and what broke. Engineers work 102 mandatory hands-on scenarios before deployment, and FDEs complete 33 assessed hours ending in a scored exam.
RAG & hybrid retrieval · agents & MCP · evals & LLM-as-judge · fine-tuning · vector search · observability · responsible AI
Before you commit
See what we commit to, or ask for the vendor & compliance pack if you are empanelling us.
Prefer email? Write to hello@anviinnovate.com — we reply within one business day.