Dedicated AI Engineers
Full-time AI engineers who join your team, learn your product and data, and deliver against your roadmap for as long as you need them.
AI talent is hard to hire and slow to ramp up.
Scarce specialists
Experienced AI engineers are in high demand and hard to recruit.
Long hiring cycles
Recruiting delays push back your AI roadmap.
Skills gaps
Your engineers are strong, but new to LLMs, retrieval, or evaluation.
Uncertain long-term need
You need capacity now without committing to permanent headcount.
Skills they bring.
LLM application development
Prompting, tool use, and structured outputs for production features.
Retrieval & knowledge systems
RAG pipelines, search, and grounding.
Agents & automation
Multi-step workflows and system integrations.
Evaluation & testing
Measure quality and catch regressions.
Production engineering
APIs, deployment, and monitoring.
Knowledge sharing
Pairing and documentation that upskills your team.
How it works.
A straightforward path from requirement to a specialist contributing to your roadmap.
Share your needs
Tell us about the role, skills, team, time zones, and how long you need support.
Learn more about Share your needsMeet specialists
Review profiles and interview the people who match your requirements.
Onboard
Agree working hours, tools, access, and responsibilities, then get started.
Deliver & adjust
Specialists work inside your team and process, and you can scale up or down as needs change.
When to hire.
Ongoing AI roadmaps
You have a backlog of AI work and need steady capacity.
Product teams adding AI
You want AI expertise embedded in an existing squad.
Building in-house capability
You want your team to learn from experienced practitioners.
Questions about hiring dedicated AI engineers?
How is a dedicated engineer different from a project team?
A dedicated engineer works inside your team under your direction. A project team owns a defined outcome. You can combine both.
Do specialists work in our time zone?
Working-hour overlap is agreed before onboarding, based on how closely they need to collaborate with your team.
Who manages their day-to-day work?
Specialists join your team and follow your priorities and processes. Responsibilities are agreed at the start.
Can we scale the team up or down?
Yes. Team size and duration are agreed with you and can be adjusted as your roadmap changes.