Skip to content

Dedicated AI agent engineers

Hire AI agent developers who give the model tools, limits and a human to answer to.

Want an agent that reads a ticket, looks up the order, drafts the refund and waits for approval? DayDecoder hires AI agent developers from Ahmedabad, India who connect models to your real systems through narrow tools, log every step, and keep a person in the loop wherever money or customers are involved. Overlap hours for the US, UK, Europe and Australia.

What an AI agent developer builds here.

An agent is a model that can take actions through tools. The hard part is not the prompt; it is deciding which actions are safe, logging them, and stopping when something looks wrong.

Our public work is the foundation for this. The WhatsApp marketing SaaS runs chatbot flows and OpenAI-assisted replies inside a shared team inbox. The AI customer support assistant produces ticket summaries, suggested replies, knowledge search and escalation recommendations. The document intelligence platform extracts and classifies data with review queues. The CRM workflow automation engine and data sync dashboard move records between systems on queues. An agent hire combines these pieces: the model decides the next step, and code we write decides whether that step is allowed.

We are careful with the word autonomous. None of the projects on this site let a model move money or message customers without a rule or a person approving it, and we would design yours the same way. Many briefs that start as an agent end up as a well-defined workflow with one or two model calls, which is cheaper and easier to trust. We will say so when that is the better answer.

  • Narrow, typed tools

    Each tool does one thing, such as look up an order or create a draft, with validated inputs and permissions checked in your code, not in the prompt.

  • Human approval where it matters

    Refunds, outbound messages and record changes wait in a review queue until a person accepts, edits or rejects them.

  • Logs you can read

    Every model call, tool call, input and result stored, so you can see why the agent did what it did and replay a bad run.

  • Budgets and stop conditions

    Step limits, token budgets, timeouts and fallbacks to a human when the agent is unsure or a provider is down.

Skills and tool stack

The agent stack we work with.

Models from OpenAI or Claude, orchestration that stays readable, and the queue and database patterns we already use in production.

Agents usually run as queued jobs in Laravel, Node.js or Python, call the model through the provider’s function or tool-calling interface, and record each step in your database. LangChain or LlamaIndex are used when they reduce code; otherwise we use the provider SDK directly. Retrieval is added when the agent needs your documents, following the same rules as our RAG work.

Models

  • OpenAI
  • Claude
  • Tool / function calling
  • Structured outputs

Orchestration

  • Plain SDK and queues
  • LangChain
  • LlamaIndex
  • Retries and timeouts

Integration

  • Your REST APIs
  • Webhooks
  • CRM and helpdesk tools
  • WhatsApp Business API

Safety & ops

  • Review queues
  • Audit logs
  • Token budgets
  • Evaluation sets

Engagement models

A dedicated agent developer, part-time, or hourly.

Agents need tuning after launch, so most clients keep the same engineer for a while.

Dedicated full-time

Owns the agent, its tools, evaluations and monitoring. Best when automation is a core part of your roadmap.

Part-time dedicated

Reserved days each week to extend one agent at a time, review its logs and adjust its limits.

Hourly agent help

A review of an agent that misbehaves, a cost spike, or a second opinion on whether you need an agent at all.

Hiring process

How an AI agent hire starts.

We begin with the action the agent must never take, then work backwards.

  1. 1

    Intro call

    Thirty minutes with the founder about the task, the systems involved and the mistakes that would be expensive.

  2. 2

    Written proposal

    Dedicated, part-time or hourly, and whether an agent, a fixed workflow or no AI at all is the right first step.

  3. 3

    Keys, data and access

    API keys and data stay in your accounts. The agent gets its own scoped credentials, never a person’s login.

  4. 4

    First supervised run

    One task end to end, with every action going to a review queue and a small evaluation set to measure it.

  5. 5

    Weekly review

    Logs, approval rates, cost for the week and what we will let the agent do next, in your overlap hours.

Agents that run while you sleep, reviewed while you work.

We work from Ahmedabad, India. Agents can process queues overnight in your time zone, while approvals and reviews happen in your working day. Afternoons overlap with the UK and Europe, early mornings or late evenings with the US, and mornings with Australia.

If a model provider has an outage, the agent hands work to a person rather than guessing. That fallback is part of the design, not an afterthought.

  • United States

    Morning updates waiting in your inbox when the US workday starts.

  • United Kingdom

    Same-day overlap for calls, reviews, and decisions.

  • Europe

    Afternoon overlap with Central and Eastern European teams.

  • Australia

    Early-morning calls that fit the Australian workday.

Why hire AI agent developers from DayDecoder.

Product engineers who already build automation, AI assistants and review queues, and who would rather limit an agent than apologise for it.

  • Automation experience first

    Workflow engines, data sync and chatbot flows are in our public work, so agents start from proven patterns.

  • Safety in code, not prompts

    Permissions, limits and approvals are enforced by the application, where they cannot be talked around.

  • Honest about fit

    If a simple workflow beats an agent, we build the workflow and tell you why.

  • You own everything

    Prompts, tools, logs and evaluation sets are yours after payment. Your data is never used for other clients.

Relevant work

Automation and AI work behind our agents.

Projects with chatbot flows, AI-assisted replies, review queues and workflow automation. Client names stay confidential.

Marketing & messaging Web (SaaS)

WhatsApp Marketing, Team Inbox & Automation SaaS

A multi-tenant SaaS that lets businesses run WhatsApp marketing and support from one console: template campaigns, a shared team inbox, contact management, chatbot flows and AI-assisted replies, sold on subscription plans.

Related reading from our blog.

All articles

FAQ

Questions about hiring AI agent developers.

Straight answers on the stack, ownership and time zones. Email us if yours is missing.

contact@daydecoder.com

A chatbot answers. An agent takes actions through tools, such as looking up records or creating drafts. That is why agents need permissions, logs and approvals.

Let's talk

Need an AI agent developer on your product?

Tell us what you are building. You will get honest advice on whether you need a dedicated hire, part-time capacity, or a scoped build.

  1. 1

    We reply within 24 hours

    A real person reads your message and replies on the next business day at the latest.

  2. 2

    Free 30-minute call

    We talk through your goals, users, and budget, and answer every question.

  3. 3

    Proposal & fixed quote

    You get a written scope, timeline, and price. No obligation.

contact@daydecoder.com Ahmedabad, India

Get a free consultation

Takes under a minute. No spam, no obligation.

What do you need help with?

Your details stay private. NDA on request.