Lewisville, Texas

Hire a AI Agent Developer in Lewisville

Build agentic workflows with a LangChain and OpenAI specialist working alongside your Lewisville team remotely.

Hire a AI Agent Developer

For your Lewisville business.

Trusted by companies across the USA

The SIR Group
Online Traffic Education

A logistics broker near the I-35E corridor in Lewisville once asked us why their dispatch team was still copy-pasting shipment data between five different portals every morning. The answer wasn't more staff. It was an AI agent that could read a load confirmation email, pull the right fields, and update their TMS without a human clicking through each screen. That's the kind of problem an AI Agent Developer solves, and it's a different skill set than hiring a generalist backend engineer or a data scientist who only builds models in a notebook and calls it done.

Lewisville sits in a stretch of Texas where distribution centers, healthcare admin offices, and mid-size manufacturers all share the same headache: too much manual work stuck between systems that don't talk to each other. When a business in Lewisville, Texas comes to us wanting an agent that can triage support tickets, reconcile invoices, or answer employee HR questions from internal documents, we're not starting from a tutorial. We've built these with LangGraph state machines that know when to escalate to a human, and with vector databases tuned so retrieval doesn't return three near-duplicate answers for the same query.

What separates a working agent from a demo is the boring part: function calling schemas that don't break when a field is missing, retry logic for when the OpenAI API rate-limits you at 2 AM, and a Python codebase your own team can maintain after we hand it off. We've seen agencies ship agents that look great in a sales demo and fall over the first time a customer types something unexpected. Our developers write the guardrails first, then the impressive parts, because a support agent that occasionally refuses to answer is far less costly than one that confidently makes something up.

When you hire an AI Agent Developer through Aneri for a Texas-based company, you're getting someone who has already debugged the failure modes: hallucinated tool calls, vector search returning stale embeddings, agents looping on the same subtask without ever resolving it. That experience is worth more than a resume full of LangChain certifications, and it's why most of our engagements in Lewisville start with a working prototype in the first two weeks rather than a lengthy discovery phase. We'd rather show you something running against real data than send over another slide deck.

Why Choose Aneri Developers in Lewisville, Texas

Agents that ship, not just demo

We've stopped counting how many prototype agents we've inherited from other vendors that never survived contact with real users. Our Lewisville engagements start with edge cases and failure modes, not the polished happy path a sales demo usually shows.

Overlap with your Texas workday

Our developers in Gandhinagar structure their day to cover a solid block of Central Time hours, so standups and code reviews happen while your team is still at the desk instead of waiting overnight for a reply.

Nine years, one focus area growing fast

Founded in 2015, we've built agentic systems for clients across 20-plus countries and now run several LangGraph and retrieval-augmented projects concurrently, so the common failure patterns are familiar territory before we even start.

You own every line of code

Repos, API keys, and vector store configs stay in your name from day one. If the engagement ends for any reason, nothing walks out the door with us.

Honest about tradeoffs

If a fully autonomous agent isn't the right call for your Texas operation and a simpler rules-plus-LLM hybrid will hold up better in production, we'll say so before writing a line of code rather than after the invoice.

Small enough to stay accountable

At roughly ten people, we don't hand you off to a rotating bench of unfamiliar faces. The developer matched to your Lewisville project stays on it start to finish.

Engagement Models

Full-Time

160 hrs/month

One developer dedicated to your agent build, ideal when you're moving from prototype to production and need consistent momentum.

Part-Time

80 hrs/month

A good fit once the core agent architecture is stable and you're mainly adding tools, tuning prompts, or expanding integrations.

Hourly

Flexible

Useful for a scoped task like adding function calling to an existing chatbot or debugging a flaky retrieval pipeline.

Team Hire

For larger builds needing a LangChain engineer paired with a Python backend developer or a data engineer for the vector store.

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 Lewisville

Get Started
1

First Conversation

We talk through what you want the agent to actually do, which systems it needs to touch, and where a human still needs to stay in the loop.

2

Your Developer Pick

We match you with a developer whose recent LangGraph or OpenAI API work fits your use case, and you get their background before anything is confirmed.

3

First Week Onboarding

Your developer gets access to relevant repos and documentation, and spends the week mapping data sources before touching production code.

4

Starting the First Sprint

We scope a two-week sprint around one working slice of the agent, usually the riskiest part first, so you see real behavior early.

5

Weekly Delivery Rhythm

You get demos, updated code, and a running list of what's next, with direct Slack access to the developer rather than a account manager relay.

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

A general Python developer can write the code but may not know why an agent gets stuck in a loop or calls the wrong tool at the wrong time. Someone focused on LangChain and LangGraph has already hit those failure patterns and knows how to add the checks that prevent them. That experience shows up in fewer surprises once the agent is handling real customer or employee requests instead of test cases.

Yes, and that's usually the better path. Most of our work involves adding an agent layer on top of a CRM, ticketing system, or internal database that already exists, using function calling to connect the model to your real data rather than rebuilding around it. We'll tell you early if something genuinely needs a rewrite instead of assuming it does.

Your developer is based with our team in Gandhinagar, India, and structures their schedule to overlap several hours with your workday. Communication runs through Slack, Zoom calls for planning, and Loom videos for anything that benefits from a walkthrough, so distance hasn't been a practical obstacle for the businesses we've worked with across Texas and elsewhere.

We scope what the agent can access using role-based permissions and avoid sending unnecessary data through the OpenAI API by filtering and summarizing before it ever leaves your environment. Vector databases storing your documents stay in infrastructure you control, not ours, and we document exactly what gets sent where.

For a scoped use case like a support ticket triage agent, we typically get a working version in front of a small test group within three to four weeks. Full production rollout with monitoring and edge-case handling usually takes longer, and we'll give you a specific estimate once we know the integrations involved rather than a generic number upfront.

We build in logging and fallback paths from the start, so a low-confidence response routes to a human instead of going out unchecked. It's a tradeoff worth naming upfront: a more cautious agent will occasionally hand off things it could have answered on its own, but that's usually the safer failure mode for a growing business.

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