Every engineer on this page has been through the same 5-stage vetting: real production experience, live technical screens, and delivery references. Pick the specialization you need, get shortlisted profiles in 48 hours, and have someone actively building inside your environment within a week.
Seven specialized hiring tracks, one vetting standard. Each track is staffed by engineers who have shipped that exact kind of work in production — not generalists relabeled to match your job description.

Engineers who have trained models in production, debugged inference failures under load, and built RAG pipelines that hold up against real business data.

Senior specialists across LLMs, RAG pipelines, agentic AI, and custom model development — production-ready GenAI systems built around your business goals.

Python engineers who have trained models that survive production traffic, built RAG pipelines that don't hallucinate, and deployed inference APIs that hold up under real load.

One engineer who owns the model, the API, and the interface — so your AI product ships end to end instead of stalling between a data scientist and a front-end team.

Real Delta Lake pipelines, MLflow deployments, and Mosaic AI builds from certified Databricks developers who have done this before — not prototypes, not demos.

Engineers who design pipelines that handle millions of events daily and make your Snowflake or Databricks warehouse work for your business, not against it.

Engineers who embed inside your environment and write production code until your AI system actually works against your real infrastructure — legacy systems included.
Every track on this page runs through the same pipeline. No job-board sifting, no three-month hiring cycles — just vetted profiles, your interviews, and an engineer actively building within a week.
Start Hiring →Share your stack, the problem you're solving, and the kind of engineer you need. We map it to the right hiring track and seniority level.
You receive pre-vetted profiles matched to your requirements — engineers who have already passed our 5-stage screening for production experience.
Technical rounds, culture fit, live problem-solving — you interview exactly as you would an in-house hire. No engineer joins your team without your sign-off.
NDA and IP agreements signed, access provisioned, and your engineer is writing code inside your environment — typically within seven days of first contact.
Sprint-level visibility, direct communication, and a 5-day replacement guarantee if an engineer isn't the right fit — so the risk stays on us, not you.
Whichever specialization you hire from, the engineers come from the same bench, the same screening, and the same delivery discipline.
Partner-level standing that requires certified skills, verified customer outcomes, and continuous performance review — not a badge you can buy.
Technical screens, live problem-solving, production-experience review, communication checks, and delivery references before anyone reaches your shortlist.
Shortlisted, pre-vetted profiles within two days of your requirements call — and an engineer actively building within a week.
95+ Databricks-certified professionals and 120+ certified cloud consultants across AI, data, and platform engineering — each track staffed by specialists, not generalists relabeled to fit the role.
If an engineer isn't the right fit, we replace them within five days. The risk of a mis-hire stays with us.
Every engagement starts with NDA and IP-assignment agreements. Your code, data, and roadmap stay yours.
Tell us what you're building and we'll tell you honestly whether you need a data engineer, a GenAI specialist, or a forward deployed engineer — before you commit to anything.
Let's build something great together
From enterprise apps and AI to cloud and dedicated developer teams, tell us what you need and we'll contact you soon.
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