Hire AI Engineers. Build Faster. Ship to Production.
Add senior AI engineers who can build, integrate, and run LLM applications, AI agents, RAG, and MLOps in production. Start with one engineer or a full AI engineering squad.
Trusted by engineering teams at:
Teamvoy has helped engineering teams at Nasdaq, Panasonic, EverBlock, Market Access Direct, and 150+ companies ship faster using AI agents trained on their own codebase.
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When to Hire an AI Engineer?
Our AI engineers build production systems on frontier and open-weight models, design agents that act inside real workflows, and engineer the operational layer that keeps both running. The work that makes an AI prototype something a regulator, an auditor, or a CFO will sign.
LLM applications and retrieval
Production AI on Claude, Codex, Gemini, and open-weight models — with retrieval, grounding, and the guardrails buyers ask about. Not a chatbot wrapper.
AI agents and agentic workflows
Multi-step agents that act inside real systems — CRMs, ERPs, claims engines, banking cores — with audit trails and human escalation paths.
MLOps and production engineering
The operational layer. Observability. Cost control. Drift detection. The parts that turn a demo into a system the business can rely on.
What Our Clients Say
The care and interest they showed are what makes Teamvoy special. The system contributes to company sales, which is the best metric of success. Teamvoy was excellent in terms of project management and were extremely responsive while coming up with creative solutions.
Arnon Rosan, CEO & Founder, EverBlock Systems, LLC
Teamvoy has successfully launched the system within the set timeline and integrated all the required tools and features. The collaborative team led regular meetings, delivered on time, and communicated effectively. Their proactive problem-solving approach and commitment to innovation stand out.
Jim Hill, Director of Marketing & Business Development, Market Access Direct, LLC
Teamvoy’s support and expertise have been integral in helping the client build and scale their product. An agile partner, they manage their tasks well and are consistent in delivering according to schedule. Their strong understanding of blockchain and the quality of their work make them stand out
Gordon Little, Managing Director, Iress
The game had a huge impact on the client’s business and helped display the exhibition. Teamvoy utilizes project management tools to ensure a smooth workflow. The team us understanding, hard-working, and experienced.
Dr. Christian Stein, CEO, MeinObject
We work with them for over 2 years, and they have been very reliable and timely in providing us quality development services. Their creative input and talented team helped us build a better product!
Nazar Fedorchuk, CEO & Founder, Senstone
Cases – AI Engineers who shipped. Outcomes you can measure.
Conversational AI for Retail: Automating B2B Customer Research with n8n and Qwen
AI in Oil and Gas: 34% Lower Ops Costs, +45% Decision Accuracy for a Global Operator
AI Portrait Generator: 70% Annotation Cost Cut, Deployment from Days to Hours
Hire AI engineers. Four qualities we look for
Four qualities we look for in every engineer we put forward. Each is common on its own. Finding all four in the same person is less common.
Experience
Every engineer has shipped at least one AI system into production. They know what happens when latency drifts, when a model misfires under real load, when the audit trail nobody asked for is the one someone now wants.
Judgment
They know which model fits the job, which experiment to run first, which problems are not worth solving. They read the system before writing the spec. They tell you when something will not work, and why.
Speed&Quality
AI is built into their workflow — code generation, automated testing, evaluation. They prototype in days, not weeks. Quality does not slip when speed goes up.
Product Thinking & Communication Skills
They think beyond tickets and tasks. They understand how technical decisions affect users, operations, compliance, and business goals. They can explain tradeoffs clearly, work directly with stakeholders, and stay aligned when priorities shift.
Dedicated. Embedded. Or by sprint.
Three engagement models for an AI engineer for hire: full-time embedded, end-to-end squad, or fixed-scope sprint. Pick the one that fits the work.
Dedicated AI Engineer
A senior AI engineer joins your team full-time and stays. Embedded in your standups, your roadmap, your codebase. We take responsibility for the outcome, not the hours.
AI Engineering Squad
A small Teamvoy-led team — engineers, an AI lead, an optional designer, or DevOps — that owns an outcome end-to-end. We bring the delivery model. You bring the problem.
Sharp Sprint
A two-week, fixed-scope engagement. Senior engineers, working on software at the end. No discovery deck. For teams that already know what needs to ship.
Freelance AI engineer or full ownership?
When you hire AI engineers, the engagement model matters as much as technical skill. Most companies choose between a freelancer, a staff augmentation vendor, or an engineering partner that owns delivery.
Here’s how a freelance AI engineer compares with Teamvoy when the goal is to ship and run AI in production.
What our AI engineers work in
Frontier & open models
Frameworks & infra
Integration u0026 Data
Languages & application layer
From first call to first commit
Most companies take 90 to 180 days to hire AI engineers. We compress that into a week. Here is exactly how to hire AI engineers without losing a quarter to recruiting.
Three steps:
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Faster cycles
Tasks that normally slow delivery — setup, boilerplate, regression testing, documentation, environment preparation — are handled in parallel by AI agents. Teams ship faster with less operational overhead.
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Continuous validation
Agentic workflows continuously check outputs, run evaluations, surface regressions, and expand test coverage during development. Problems are caught earlier, before they reach production.
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Human-led execution
Engineers direct the workflow, review outputs, and make architectural decisions. AI agents extend delivery capacity. Ownership, accountability, and technical judgment stay with the engineering team.
Talk to an AI Engineering Expert, to hire one
Hire AI engineer who will still be on the call when needed, you talk to a Chief Technology Officer on the first call.
