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Hire AI agent developers

Hire AI agent developers. Who've shipped agents to production.

Hire dedicated AI developers who have built agents that read an inbox, use real tools and finish real work, with a person approving what matters. They join your team within a week, and the first 7 days are free.

Start your 7-day free trialRead the TalVagt case study

What they build. Agents that finish the job.

An agent is only useful if it does a whole task, safely, inside the systems you already use. That's where your engineer spends their time: the tools it can call, what it remembers, and the point where it stops and asks a person.

Tools we use
Multi-agent orchestrationLangGraphPlanner–executor loopsMCP serversFunction callingBrowser agentsDurable workflowsHuman-in-the-looppgvector memory
What they cover
Multi-agent systems: an orchestrator that plans and hands work to specialist agents.
Tool use in your real systems, such as email, accounting software, CRMs and internal APIs, through function calling and MCP servers.
Browser agents for steps that have no API, with the session streamed so you can watch.
Memory that learns from every approval, so the next suggestion is better.
Approval steps: nothing irreversible happens without a person's click.
Personal data removed before anything reaches a model, and a log of every action the agent takes.

Agents they've built. And what they do.

talvagt.com
TalVagt, live product
TalVagtAI agents · Fintech · Denmark

An AI bookkeeper that works around the clock for Danish small businesses.

An orchestrator hands invoices to a bookkeeping agent. It reads them from Outlook, drafts the journal entry and posts it to e-conomic once the owner approves. Personal data is scrubbed before any model call. Built in 9 weeks by a core team of two engineers.

Live, with a 14-day free trialRead the case study →
go-legal.ai
Go Legal AI, live product
Go Legal AILegal AI · United Kingdom

A legal AI platform that drafts, reviews and explains documents for UK individuals and small businesses.

Multi-agent “traffic light” contract review: agents flag risky clauses and explain them. The assistant drafts and explains, but never files or sends anything for the user.

Live; full rebuild in progressRead the case study →
Voice AI · Legal servicesLegal intake voice agentA 24/7 voice agent that answers client calls, collects case details and books consultations, built on Temporal workflows.Client not named

How your engineer builds an agent. Small first, then wider.

Scope

One job, one finish line.

Pick a task with a clear owner and a clear end, like posting an invoice or booking a call. We agree what done means with your lead before any code.

Build

Tools before prompts.

Your engineer connects the agent to the systems it needs, with the narrowest access that works. Then they write the prompts, and the evals that check them.

Guard

A person approves what matters.

Anything irreversible waits for a click. Every action is logged, and personal data is removed before it reaches a model.

Widen

More work once it's trusted.

Start with a few users and real data. Add tasks and autonomy as the agent earns them.

Your engineer joins your repo and standups, and your lead approves every change. How we work →

Engineers you can hire. Profiles you can check.

Portrait of Arslan Haroon
Arslan HaroonSenior Full-Stack AI Engineer · Tech Lead

Tech lead who has led 10+ AI-driven products, from agentic systems to RAG architectures.

Agentic AI systemsLLM workflowsRAG architecturesSee the full profile →
Portrait of Ali Abyer Nasir
Ali Abyer NasirLead Software Engineer

Leads backend, platform and cloud work: RAG pipelines, LLM integrations and voice-agent workflows.

RAG pipelinesLLM integrationsVoice-agent workflowsSee the full profile →

Questions we get asked.

Software that uses a language model to decide what to do next, then does it with tools: reads an email, looks up a record, fills in a form, posts an entry. A chatbot answers. An agent acts.

Yes. The engineer joins your repo and standups and builds the agent inside your codebase, on accounts you control. The code and IP are yours from the first commit.

Only with guard rails. Your engineer gives the agent the narrowest access that works, puts an approval step before anything irreversible, logs every action and removes personal data before it reaches a model. That's how TalVagt handles real accounting data.

Whatever fits the job and your rules. Our engineers work with Claude, GPT, Gemini and open-weight models, and route between them by cost and quality. The tools and the evals matter more than the framework.

Yes. You keep the engineer for as long as you need. After the free first week it's month to month, with 2 weeks' notice.

Book a short call. You'll see engineer profiles within 3 business days. Then the engineer works a real task for 7 days, free, against success criteria agreed on day one.

More ways to hire

Need an engineer who's built agents?

Tell us the task. We'll say honestly whether an agent is the right tool.

Book a free call