Anvi Innovate Engineers who take AI from prototype to production — inside your team.
AI-native Forward Deployed Engineers who have already worked the failure modes: legacy data, retrieval that misses, agents that loop, evals that catch it before your users do.
Two ways to staff the work
Most teams need one senior who can own the system, and capacity underneath. We supply both, and we are explicit about which is which.
Forward Deployed AI Engineers
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.
The job, in proportion: 50% full-stack systems · 30% applied AI, RAG and agents · 20% client advisory
Use when: A product that has to work in front of real users, on real enterprise data.
Trained AI engineers
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 they deploy: Deployed in a pod with an FDE lead, or hired direct through hire-train-deploy
Use when: Volume programmes where cost per seat matters and there is a senior to supervise.
Trained on real failures
The curriculum is built from documented production incidents at named companies — not tutorials.
Assessed, not just taught
Every engineer passes a scored, hands-on assessment before we put them in front of you.
You interview first
We shortlist from a trained bench. You decide. Nobody starts without your yes.
Flexible engagement
Contract staffing, contract-to-hire, and hire-train-deploy.
What the training is actually made of
Our own numbers, not market forecasts. Every case study behind the curriculum was retrieved from a primary engineering source and fact-checked before it was taught.
verified production case studies behind the curriculum
companies those failures were documented at
mandatory hands-on scenarios before deployment
assessed hours in the FDE track
What a Forward Deployed Engineer has already done
Not a syllabus — a sequence of things they have built and been scored on, in the order the work actually arrives on an enterprise engagement.
How hiring works
Tell us the role
Skills, headcount and timeline — one short form, about a minute.
We shortlist
Profiles with assessment scores and work samples, so you can judge before you meet anyone.
You interview, then they start
Your interview, your decision, your clearance process.
What we place
AI / ML Engineering
Production LLM features: RAG design, agents, fine-tuning, and the evaluation discipline that keeps them honest.
Data & AI Platform Engineering
The retrieval layer and the pipelines under it — ingestion, chunking, embeddings, hybrid search, reranking, vector operations.
AI Evaluation & Reliability
Testing non-deterministic systems: eval harnesses, agent trajectories, LLM-as-judge in CI, regression gates before release.
Also available, on demand
Built to order against a confirmed requirement, rather than held on the bench.
Skills & tech stack
average wage premium for AI skills
PwC AI Jobs Barometer 2026
of developers now use AI at work
DORA, 2025
fastest-growing US roles are AI roles
LinkedIn Jobs on the Rise 2026
India AI/ML hiring growth, year on year
Naukri JobSpeak, September 2026
Engagement models
Embedded FDE
One senior engineer inside your team, owning an AI system end to end.
Pod
An FDE leading two to four assessed engineers, billed per seat.
Hire-train-deploy
We source, train and deploy against your programme, with conversion to your payroll.
Built for the teams who are actually hiring
Global capability centres are now the dominant buyer of contract engineering talent in India — 71% of professional staffing headcount at the market leader. What they are short of is not people. It is people who can be trusted with an AI system in production. That is the gap we train into.
Sources: Quess Corp professional staffing headcount, Q1 FY27 investor presentation; Indian Staffing Federation (IT staffing 10.1% YoY, FY26).
Tell us the role. We will show you the people.
A short brief is enough to start. We reply within one business day.