Coppell, Texas

Hire a AI Agent Developer in Coppell

Dedicated LangChain and OpenAI API talent embedded with your team for real agent workflows, not demos.

Hire a AI Agent Developer

For your Coppell business.

Trusted by companies across the USA

The SIR Group
Online Traffic Education

Coppell sits inside one of the busiest logistics corridors in the state, wedged between DFW Airport and a stretch of distribution centers that keep goods moving across the country. A supply chain company here recently asked us for something specific: an internal agent that could read shipment exception emails, cross-reference them against a vector database of carrier contracts, and draft a response before a human ever touched the ticket. That is not a chatbot project. It is agent engineering, and it is exactly the kind of work we get called into.

Most businesses in this part of Texas that come looking for an AI Agent Developer already have a system in place, usually a CRM, a warehouse management tool, or an ERP, and they want an agent layered on top rather than a rebuild. We staff developers who work in LangChain and LangGraph for orchestration, OpenAI's API for reasoning and generation, and Python as the glue holding tool calls and function definitions together. Vector databases come in when the agent needs memory or has to search unstructured documents like contracts, tickets, or product manuals.

What tends to surprise clients here is how much of the actual engineering work is not the AI part at all. It is designing tool use carefully enough that the agent does not call the wrong function at 2 a.m. and refund an order it should not have. It is deciding which steps need a human checkpoint before anything ships. A well-built agent handles the routine 80 percent of cases and flags the odd 20 percent for a person, and getting that split right takes a developer who has debugged production agents before, not just built demos in a notebook.

There is a real tradeoff worth naming here: agents built on LangGraph state machines are more reliable than a single long prompt, but they take longer to design properly, so anyone promising a working agent in a week is skipping the part that actually prevents bad function calls. We hire our developers out on an hourly, embedded basis, meaning the person you get joins your Slack or Zoom standups like an employee would, except they are not on your payroll. Aneri Developers has been doing this since 2015 out of Gandhinagar, India, with a team of around ten engineers who have shipped 500-plus projects for clients across 20-plus countries, and we have found that overlap-hour discipline matters more to a good outcome than where the developer happens to sit. For a company here weighing build-versus-buy on agent tooling, that structure means you are hiring a developer, not commissioning a black-box deliverable, and you keep every line of code, every prompt, and every vector index we help you set up.

Why Choose Aneri Developers in Coppell, Texas

Agents built for real workflows

Our developers have shipped LangGraph agents that handle exception routing and document lookups, not just demo bots, which matters for logistics and distribution businesses common in this corridor.

You own the code, always

Every function definition, prompt, and vector index we build belongs to you from day one, with no rights retained by Aneri Developers.

Overlap hours that actually work

Our India-based engineers shift their schedules to overlap with Central Time so your team gets live standups, not just async updates.

Nine years of remote delivery

Founded in 2015, we have run remote engagements long enough to know how to keep a Texas-based team and an India-based developer in sync without friction.

Function calling done carefully

We design tool use with guardrails and human checkpoints, so agents don't take irreversible actions without review.

No project lock-in

Because you hire hourly, you can scale a developer up during a sprint or down once the agent stabilizes, without renegotiating a contract.

Engagement Models

Full-Time

160 hrs/month

One developer embedded in your team full-time, best when you're building an agent platform from scratch or replacing multiple manual workflows at once. This is the model most companies pick when the first agent proves out and a second and third use case follow quickly.

Part-Time

80 hrs/month

Good fit once your agent architecture is stable and you need ongoing tuning of prompts, retrieval quality, and tool definitions. Many teams move here after the initial build phase winds down.

Hourly

Flexible

Pay only for the hours logged, useful for a scoped task like adding a new tool, tightening a system prompt, or debugging a LangGraph state machine that keeps looping.

Team Hire

Bring on a small pod, an agent developer paired with a backend engineer, when the integration work spans multiple systems or data sources at once.

Build Your Team

AI Agent Developer Rates

Junior

$2,500
per month
or $18/hour

  • 1-2 years experience
  • Dedicated to your project
  • Daily standups
  • Code reviewed by a senior
Most Popular

Mid-Level

$3,500
per month
or $25/hour

  • 3-5 years experience
  • Owns features start to finish
  • Daily standups
  • Direct Slack access

Senior

$4,800
per month
or $35/hour

  • 5+ years experience
  • Leads architecture and reviews
  • Mentors your in-house team
  • Direct Slack access

How to Hire a AI Agent Developer in Coppell

Get Started
1

First Conversation

We walk through what you want the agent to do and where it needs to plug into your existing systems, whether that's a CRM, an ERP, or a support inbox. This tells us whether you need one developer or a small pod.

2

Your Developer Pick

We shortlist engineers who have actually shipped LangChain or LangGraph agents in production, not just tutorials, and you interview whoever fits best before committing.

3

Getting Your Developer Up to Speed

Your developer spends the first week mapping your data sources, APIs, and any vector store you already run, so the agent design matches reality instead of assumptions.

4

First Sprint Plan

We scope a narrow first build, usually one workflow end to end, so you see working output within the first sprint rather than sitting through weeks of planning documents.

5

Weekly Delivery Rhythm

From there it's regular check-ins, incremental releases, and adjustments as the agent handles more edge cases surfaced by your actual data.

What Our Clients Say

Amazing communication and superb development skills!

"Ritik and his team at Aneri Developers are top notch! We have been working together for almost 2+ years now and the project continues to evolve exactly how I had envisioned it. His communication is amazing and his attention to detail is even better! The mobile app and back office that we have created has freed up so much of my day to day while also giving my clients much better transparency and service in return too. His pricing is very fair and I feel extremely lucky to have him helping behind the scenes and growing my business! I look forward to all our future endeavors and continued success. Thank you!"

Brandon Schneider
Brandon Schneider
Founder, The SIR Group
Verified on Trustpilot
I used Aneri Developers to build a campaign website.

"I used Aneri Developers to build a campaign website. They were responsive, creative and handled any web-site related problems promptly. The turnaround time to implement updates was impeccable. Rutvik was also very patient and gracious. I recommend Aneri Developers for your website development needs."

Hon. Lola Waterman
Hon. Lola Waterman
Civil Court Judge, NYC Civil Court - Brooklyn
Verified on Trustpilot
Great developer

"Great developer. On Time. Reasonable pricing. I trust working with him. We have an on going business now!"

Elias Riadi
Elias Riadi
Founder, Online Traffic Education
Verified on Trustpilot

Frequently Asked Questions

Off-the-shelf tools handle generic Q&A well but struggle once you need an agent to call internal APIs, check a vector database of your own documents, or take multi-step actions. Logistics and distribution operations near the airport corridor often need agents wired into shipment systems or ERPs, which requires custom function calling. A developer who builds this from scratch can also design the guardrails a packaged tool won't let you touch.

Your developer is based with our team in India but shifts hours to overlap with Central Time for standups and live discussion. Communication runs through Slack, Zoom, and Loom recordings for anything async. You get direct access to the developer, not a account manager relaying messages.

For a scoped workflow, like automating one type of support ticket or document lookup, we usually see a working first version within three to five weeks. Full agent platforms with multiple tools and retrieval layers take longer, often eight to twelve weeks depending on how many systems need integration, how messy the underlying data is, and how much testing the compliance or operations side wants before go-live. We scope the first sprint narrowly on purpose so you have something real to test early instead of waiting months for a big reveal.

Yes, we build against whichever API account you already have, whether that's OpenAI directly or an Azure-hosted deployment. We don't require you to switch providers or re-platform anything to bring a developer on.

This is exactly why we design function calling with human-in-the-loop checkpoints for anything irreversible, like issuing refunds or sending customer emails. We also build logging so every tool call the agent makes is traceable after the fact, which makes debugging a bad response far faster than guessing. No agent we've built is fully autonomous on high-stakes actions without a review step somewhere, and we'd push back on any client who wanted to skip that for speed.

No, our developers can help you choose and stand one up if you're starting fresh, based on your document volume, latency needs, and query patterns. If you already run one, whether that's a managed service or something self-hosted, we'll work within it rather than pushing a migration you didn't ask for. Either way it's a decision we make based on your data, not a default we apply everywhere regardless of fit.

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