Senior engineersinside your team.
We hire. You lead. Engineers embedded in your team on an hourly or monthly retainer, working in your stack and your hours.
- 100+ engineers placed
- 48h average to first candidate
- 98% client retention
What you getwhen an engineer joins from our side.
Embedded AI engineers
Our engineers join your standups, work in your repos, and follow your processes. They bring deep AI/ML expertise — LLM integration, agent design, RAG architectures — while operating as a seamless extension of your team.Agentic workflow integration
Beyond individual contributors, we help integrate agentic workflows into your existing development processes. From AI-assisted code review to automated testing pipelines, we bring the agentic era to your team.
Ways to engagesame engineers, different shape.
Hourly engagement
scale up or down
Maximum flexibility. Scale hours up or down based on project needs. Ideal for supplementing your team during sprints or specific AI initiatives.Monthly retainer
reserved capacity
Dedicated capacity at a predictable cost. Reserve a set number of hours per month for ongoing AI development and support.Project-based
defined scope
Defined scope, defined timeline. We embed engineers for the duration of a specific project with clear deliverables and milestones.
How the team comes togetherand stays supported.
- 01
Requirements review
We analyze your team structure, tech stack, and the specific AI capabilities you need to augment. This ensures a precise talent match from day one.
- 02
Talent matching
We select engineers from our vetted network whose skills, experience, and working style align with your team culture and technical requirements.
- 03
Team integration
Your new team members onboard into your tools, repos, and workflows. We support the first two weeks to ensure a smooth ramp-up.
- 04
Continuous support
Ongoing check-ins, performance reviews, and scaling adjustments. We ensure the engagement delivers value month over month.
Outcomes, not just seats
Augmentation is the right call when you own the roadmap and need senior hands on it. If what you need is a result — an agent, a platform, a shipped product — a project build is the better fit, with the same engineers behind it.
Need an outcome instead?
Agents, LLM applications and RAG systems built for production.Want the whole product built?
Web platforms, APIs and integrations, with the AI layer inside.
Tell us which rolesyou need to fill.
Share the product or workflow, your stack and your timeline. If you need engineers instead, tell us the roles.
- Reply
- Within 24 hours
- Prefer to talk?
- Book a 30-min call