AI Engineering Talent for US Technology Companies
We connect US tech companies with vetted AI engineering professionals — specialists in multi-agent systems, RAG, LLMOps, and cloud AI, ready to embed with your team.
AI Staffing, Done Differently
We're a specialized AI talent firm — not a generalist recruiter. Our team understands the difference between a RAG engineer and an ML researcher, and we vet every candidate with hands-on technical assessments before they ever talk to you.
For Startups & Scale-ups
Moving fast and need an AI engineer who can ship? We match you with professionals who have hands-on production experience — ready to contribute from week one, not month three.
Learn More ›For Enterprises
Building or scaling an AI team? We provide senior engineers and architects who understand enterprise requirements — compliance, observability, and infrastructure that serves millions of users.
Learn More ›How It Works
A straightforward process from first call to successful placement
Discovery Call
We learn about your team, your stack, and the AI engineering profile you need.
Talent Matching
We identify candidates from our network whose skills and experience match your requirements.
Technical Vetting
Every candidate goes through a hands-on technical assessment — system design, coding, and AI-domain-specific evaluation.
Team Integration
Your new engineer embeds directly with your team — standups, PRs, code reviews, your tools and workflows.
Ongoing Support
We check in regularly to ensure the engagement is successful, and help you scale as your needs evolve.
Roles We Fill
AI engineering professionals across the full stack
Multi-Agent Engineers
Engineers who build systems where multiple AI models coordinate to solve complex tasks — from orchestration and routing to tool-use and state management.
RAG Engineers
Specialists in retrieval-augmented generation — building search and retrieval pipelines that let AI systems answer questions accurately from your data.
LLMOps Engineers
Professionals who bring production discipline to LLM systems — tracing, evaluation, monitoring, prompt management, and cost optimization.
AI Platform Engineers
Engineers who build the infrastructure and tooling around AI systems — CI/CD pipelines, sandboxed execution, safety layers, and developer experience.
Cloud AI Engineers
Professionals who design and manage scalable cloud infrastructure for AI workloads on AWS, Azure, and Kubernetes.
AI Architects
Senior engineers who lead AI initiatives end-to-end — from system design and technology selection to team mentorship and production rollout.
Tech Stack Coverage
Our engineers work across the modern AI and cloud ecosystem