Hire AI / ML Engineers
LLMs, RAG, agents, and production ML — specialists who ship.
Our AI/ML engineers have shipped production systems across LLM applications, RAG pipelines, agentic workflows, computer vision, and classical ML. Pre-vetted through technical screening — not just CV review.
5 days
To onboard
40–60%
Cost vs local hiring
72h
Profiles delivered
480+
Completed projects
What they'll do for your team
Concrete responsibilities, not job-description boilerplate.
Build LLM applications
Design and deploy LLM-powered features — chatbots, copilots, document analysis, and code generation systems.
Design RAG pipelines
Build retrieval-augmented generation systems with vector stores, hybrid search, and evaluation frameworks.
Train and fine-tune models
Fine-tune open-source models on your domain data. Build training pipelines, run evals, and deploy to production.
Deploy ML to production
Own the full ML lifecycle — from model development to serving infrastructure, monitoring, and retraining.
Skills & technologies
LLM & Generative AI
ML & Deep Learning
AI Infrastructure
Data & Vector
How the hiring process works
From first message to productive engineer, in 5 business days.
Share requirements
Tell us the role, stack, and timeline. Takes 10 minutes.
Receive profiles
2–3 pre-vetted candidates delivered within 72 hours.
Interview & select
Technical interview and code review on your schedule.
Onboard in 5 days
Contracts signed, access provisioned, ready for sprint one.
Engagement models
Choose what fits. Switch at any time with 2 weeks notice.
Full-time dedicated
- 40h/week
- Your tools and timezone
- Direct Slack/Teams access
- Replace within 2 weeks if needed
Part-time / Fractional
- 20h/week
- Focused on specific deliverables
- Scales to full-time easily
- Flexible scheduling
Project-based
- Fixed scope and timeline
- Milestone payments
- Source code handoff
- Post-launch support available
Ready to hire a AI / ML Engineers?
Share your requirements and we'll send you shortlisted profiles within 72 hours.
Profiles in 72 h · NDA available · No commitment to start