Dedicated LangChain and LangGraph developers for Irving companies building agents that actually finish tasks.
For your Irving business.
Trusted by companies across the USA
A mid-size logistics firm near the DFW corporate corridor in Irving recently found itself buried in email chains: freight quotes, carrier confirmations, exception reports, all needing a human to read, decide, and reply. Their ops team wanted something that could triage inbound messages, pull data from three internal systems, and draft responses without waiting on a developer to hand-roll every integration. That is the exact gap an AI Agent Developer fills, and it is a pattern we see across Irving and the broader Texas corporate base, from corporate back-office teams at companies headquartered in the Las Colinas business district to smaller operators running lean.
When a Texas business reaches out to hire an AI Agent Developer, they are usually past the chatbot stage. They want an agent that calls internal APIs, queries a vector database for context, and hands off cleanly when it hits a decision it shouldn't make alone. Our developers build this with LangGraph for the state machine logic, LangChain for orchestration, and function calling through the OpenAI API so the agent can actually take action instead of just describing what it would do. Python underpins all of it, which matters because most Irving companies already have Python-literate teams who need to maintain this after we hand it off.
The engagement itself is simple: you hire a developer's time, not a fixed project scope. That distinction matters more with agent work than with typical web development, because agent behavior needs tuning after launch. Prompt drift, tool-call reliability, retrieval quality from your vector store, these all shift as usage patterns emerge, and a dedicated developer embedded with your team catches that faster than a vendor who delivered a spec and walked away. Irving businesses in finance, logistics, and healthcare administration have leaned on this model precisely because agent systems are never really finished on day one.
Our team works out of Gandhinagar, India, and we are direct about that. There is no Irving office, no local staff, nothing to suggest otherwise. What we do offer is a working day that overlaps several hours with Central Time, daily standups over Zoom, async updates in Slack, and Loom walkthroughs when a demo says more than a status update. You keep full ownership of the code and the vector database schema from day one. It is a model that has worked for us across 500-plus projects and clients in over 20 countries since 2015, and it holds up fine for agent development specifically because most of the hard problems (tool reliability, retrieval accuracy, cost per run) get solved through iteration, not a single kickoff meeting.
We ship LangGraph agents that handle real tool-calling and error paths, not a proof-of-concept that breaks the first time a Texas client's API times out.
Aneri Developers has been building software since 2015, and that experience shows up in how we structure agent memory and retrieval rather than bolting a chatbot onto existing workflows.
Our developers keep hours that overlap with Central Time, so your Irving-based team gets live answers during the workday instead of waiting for a next-day reply.
Every prompt template, vector index, and Python module we write belongs to you outright, with no lock-in to our team once the engagement ends.
You get a developer who stays on your project rather than rotating staff mid-sprint, which matters when an agent's behavior depends on institutional knowledge of your data.
If a use case is better served by a simple rules engine than a full agent, we will tell you before you spend a month building one, even if that means a shorter engagement.
One developer dedicated to your agent build full time, best when you're standing up a new LangGraph system from scratch.
Steady progress for teams that need ongoing agent tuning and vector database maintenance without a full-time commitment.
Pay for actual hours worked, useful for prompt fixes, tool-call debugging, or a specific integration into an existing agent.
Multiple developers for larger agent platforms that need parallel work across orchestration, retrieval, and front-end integration.
We talk through what you want the agent to actually do, including which systems it needs to call and where a human should stay in the loop.
We match you with a developer who has shipped comparable LangChain or LangGraph work, and you review their background before anything is confirmed.
Your developer spends the first week learning your data sources, existing APIs, and any vector database already in place.
We scope a working slice of the agent, usually one workflow end to end, and agree on what done looks like for that sprint.
Weekly demos, async Slack updates, and direct access to your developer keep the build moving without surprise gaps.
"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!"
"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."
"Great developer. On Time. Reasonable pricing. I trust working with him. We have an on going business now!"
Tell us what you're trying to automate and we'll set up a call with a developer who's built something similar.
For your Irving, Texas business.