Practice · AI/ML & LLM
AI engineers who ship to production, not demos
LLM/RAG assistants, AI agents, recommenders and computer vision — built by senior engineers and integrated into enterprise landscapes, with data governance your legal team will sign off.
100+engineers on staff
72%Senior / Lead level
5.6%attrition — industry low
~2 wksto a productive engineer
What we staff
From LLM apps to ML systems at scale
LLM & RAG — assistants and knowledge agents on LangChain, vector search with Faiss, Milvus, Pinecone.
AI agents and workflow automation — agentic pipelines wired into your existing systems and APIs.
Recommender systems — production recsys at bank scale, from feature pipelines to online serving.
Computer vision — real-time video analytics, detection and recognition, low-latency edge inference.
MLOps — MLflow, Azure ML, Databricks; training-to-serving pipelines, monitoring and drift control.
Data governance by default — models run on client-approved infrastructure; your data never trains third-party models.
Proof
ML that runs in enterprise production
BankingRecsysrecommendation system at bank scale, in production
Industrial & retailGenAIassistants and internal AI tooling for global enterprises
From scratchAI team / 6 moa full AI unit assembled from zero
Profile examples
Who you'll work with
LLM · RAG · Computer Vision
Senior AI Engineer
Representative profiles. Full CVs, CEFR levels and current availability on request.
How it works
From brief to a productive engineer
48 h
First CVs
Pre-vetted, from the bench.
2–5 d
Full shortlist
Bench roles; sourced: 2–3 weeks.
Your call
Interview
You assess and decide.
~2 wks
Productive
DM-led onboarding.
Send us one AI/ML role today.
First pre-vetted CVs within 48 hours — and a productive engineer in ~2 weeks.