Hire AI Engineers Who Ship in Production
Embed pre-vetted LLM, RAG and MLOps engineers directly into your team without the 6-month hiring cycle.
Plug AI Engineering Talent Into Your Existing Team
Most companies struggle to hire production AI engineers the talent is scarce, interviews take months, and mis-hires are expensive. We give you direct access to pre-vetted AI engineers who embed inside your team, work your hours, and report to you.
- RAG, agent and LLM engineers with real production experience
- Eval, MLOps and guardrail specialists not just prototype builders
- Engineers who integrate with your stack, codebase and workflows
- Flexible engagements scale up or down as your roadmap shifts
Stacks Our Engineers Work In
Roles You Can Hire
RAG Engineer
Builds and tunes retrieval pipelines for accuracy and latency
AI Copilot & Agent Developer
Builds domain copilots with tools, memory and HITL
Eval & Guardrails Engineer
Sets up automated quality gates, regressions and red-teaming
Fine-Tuning Specialist
PEFT/LoRA fine-tunes with reproducible training runs
MLOps Engineer
Owns pipelines, monitoring, drift detection and rollback
Computer Vision Engineer
Detection, OCR and document understanding
How Hiring Works
Share Requirements
Tell us about your project, required skills, team size, and timeline. No lengthy forms just a quick conversation.
Get Matched in 48 Hours
We surface the top 3–5 pre-vetted engineers that match your stack and culture. You pick who you want to interview.
Interview Talent
Run your own technical interviews. We support the process with assessments, portfolios, and references.
Start Within a Week
Once you select your engineer(s), we handle contracting, access setup, and onboarding, so your team can get started in under a week.
Why Teams Augment Instead of Hire
- Skip the 4–6 month AI engineering search
- Access specialists you can't find locally
- Keep full control engineers work for you, not alongside you
- Scale your AI team up or down without headcount risk
- No agency markup on deliverables you own everything
Engagement Options
Individual Augmentation
One specialist embedded in your existing team
AI Pod
Tech lead + AI engineer + MLOps your dedicated squad
Short-Term Contract
Defined sprint for a specific feature or audit
Long-Term Embedded
Ongoing hire with full timezone and workflow alignment
Common Questions
How quickly can an engineer start? +
We match you with pre-vetted AI engineers within 48 hours. Most embedded AI engineering engagements kick off within one week of your brief, no lengthy recruitment cycles, no delays.
Do I manage the engineer directly? +
Yes, fully. Your embedded AI engineer reports directly to you, joins your team standups, uses your tools and workflows, and operates on your timezone, just like an in-house hire, without the overhead.
What time zones do your engineers work in? +
Our AI engineers align to your working hours. Whether you're on US EST or UK GMT, we match you with talent that overlaps your core hours for real-time collaboration and daily standups.
How do you assess AI engineering talent? +
Every engineer is vetted through technical screening, portfolio review, and a production-focused assessment. You only get matched with engineers who have shipped real AI systems, not just built prototypes or completed courses.
Can you help with an existing AI project? +
Absolutely. Our embedded AI engineers integrate directly into your existing codebase, workflows, and team. Whether you need to scale, fix, or accelerate an ongoing AI project, we match you with the right specialist fast.
Build Your Offshore
Engineering Team
Scale faster with embedded engineering teams specializing in SaaS, AI, ecommerce and enterprise development.