Trusted by companies across the USA
A dedicated agent developer who works inside your team, not on a side project
A support operations lead had wired up a chatbot that answered questions but could not actually do anything, like pull an order status or file a refund. The gap was not the model. It was the engineering around it: tool definitions, retries, and knowing when the agent should stop guessing and hand off to a human.
Tell us what you need. We will match you within 48 hours.
Trusted by companies across the USA
Your developer builds agents using function calling and tool use, so the agent can look up a record, hit an internal endpoint, or update a row instead of just returning text.
They set up vector databases and chunking so the agent pulls from your actual documents. Bad retrieval is the most common reason an agent gives confident wrong answers, and this is where it gets fixed.
Using LangGraph, your developer designs agents that plan, branch, and loop without losing the thread halfway through a task. State is tracked deliberately, not left to chance.
They add validation, timeouts, and human handoff paths so a stuck agent fails quietly instead of taking a wrong action. You decide where the agent is allowed to act on its own.
Token usage and response times get logged from the start. When an agent gets slow or expensive, you know which step caused it instead of guessing.
Your developer connects agents to the systems your team uses through the OpenAI API and your own REST endpoints. The agent fits your stack rather than forcing a new one.
Once matched, the same developer stays with you. No silent swaps, no rotating faces every few weeks, so context about your agents and your data does not keep resetting.
All code, prompts, and agent configurations are yours from the first commit. Nothing is held back or licensed back to you later.
Our team is in India and plans the day around your working hours. You get several hours of live overlap for standups, pairing, and quick decisions instead of a 24-hour reply cycle.
We sign your NDA and a clear contract before your developer touches a repository or your data. Terms are settled up front, not after work has started.
If the developer is not the right match, we swap them and bring the new person up to speed. You are not locked into a pairing that is not working.
You get visible weekly progress through a shared board, short Loom walkthroughs, and direct access to your developer. Operating since 2015, we have learned that hidden progress is how remote work goes wrong.
One developer focused on your agents full-time. Best when you have a roadmap of agent work and want steady, daily momentum.
Half-time commitment for teams with a smaller scope or a tighter budget. Good for maintaining and extending existing agents.
Pay for the hours you actually use, logged and visible. A fit when the work comes in bursts or you are still scoping what the agent needs to do.
More than one developer when a single agent project grows past what one person can carry. We size the group to the work and keep handoffs tight.
Transparent pricing. No hidden fees.
From first contact to your developer writing code — here is how it works.
Get StartedWe start with a call about what you want the agent to do and where it currently breaks. You walk us through the tools or APIs it needs to reach, and we tell you honestly whether an agent is even the right approach for the task. Sometimes a simpler workflow wins.
We pick a developer whose background fits your agent work, whether that is heavy retrieval, complex tool use, or multi-step orchestration. You interview them directly before anything is decided. If the match feels off, we keep looking.
In the first week your developer gets into your repo, your data, and your existing prompts or agent code. They map how your systems connect and flag the parts most likely to cause unreliable agent behavior. By the end of the week you have a shared view of what to build first.
Together you set the first sprint around one concrete agent capability, not a vague backlog. Your developer breaks it into steps with checkpoints so you can course-correct before too much is built. Scope is agreed before the sprint starts.
From there your developer works in your team like any other engineer: daily standups, a shared board, and short demos of what the agent can now do. You see working progress every week and can change direction at the next sprint. Communication runs over Slack, Zoom, and Loom during your hours.
Tell us what you want the agent to do and where it keeps breaking. We will tell you honestly whether a dedicated AI agent developer is the right next move.
Describe your project and requirements.