Trusted by companies across the USA
Add a dedicated AI agent developer to your Addison team, billed hourly, no long-term contract required.
For your Addison business.
Trusted by companies across the USA
A logistics brokerage near the Addison Circle corridor recently asked us why their dispatch team still copy-pasted carrier emails into a spreadsheet every morning. The answer wasn't more headcount. It was a LangGraph-based agent that reads inbound messages, extracts load details through function calling, and writes them straight into their existing system. That's the kind of problem an AI agent developer solves, and it's the reason Texas companies, from Addison's telecom and tech corridor to Dallas-area logistics firms, are hiring for this role specifically rather than asking a generalist to figure it out.
The title sounds trendy, but the actual work is unglamorous and precise. Someone has to design the agent's decision loop in LangGraph, decide when a Python function gets called versus when the model just answers, and build the vector database layer that lets the agent retrieve your company's actual documents instead of hallucinating plausible-sounding nonsense. Get the retrieval step wrong and the agent confidently invents pricing or policy details, which is worse than not having it at all. We've rebuilt that layer for clients more than once after a first attempt skipped proper chunking and embedding strategy.
When an Addison business hires through us, they're working with a developer based on our team in Gandhinagar, India, not someone relocating or working from a local office. We've never had staff in Texas and we're not going to pretend otherwise. What we do instead is structure the day around your hours: daily standups scheduled for your morning, Slack and Loom updates you can review on your own time, and a sprint cadence that assumes you're checking in live at least a few hours a day. Founded in 2015, our team has shipped agent and automation projects for clients across 20-plus countries, and every repository, API key, and model config stays in your name from day one.
Cost matters, but the real question for an Addison business is whether the agent actually reduces manual work without creating a support burden nobody budgeted for. A part-time hire might be enough if you need one well-scoped agent, like an internal support bot with function calling into your ticketing system. A full-time developer makes more sense if you're building a multi-agent pipeline in LangGraph that touches several internal tools, because that kind of orchestration needs sustained attention, not a few hours a week. We'll tell you honestly which one fits before you sign anything, even if that means recommending the smaller engagement.
We design LangGraph state flows and tool-calling logic before writing a single prompt, so your Addison-based agent behaves predictably under real workloads.
Retrieval quality lives or dies on chunking and embedding choices, and we test both against your real documents rather than a generic demo dataset.
Our developers structure their day to overlap with Central Time mornings and afternoons, so standups and reviews happen live, not asynchronously across a full day gap.
We've built software since 2015 and shipped over 500 projects, several of them agent and automation systems for companies with the same integration headaches Addison businesses run into.
Code, API credentials, and vector store configs are set up under your accounts, so switching developers later or bringing work in-house never means starting over.
If a rules-based script would solve your problem cheaper than a full agent, we'll say so before quoting hours, even for teams in Texas ready to spend more.
Best for multi-agent LangGraph pipelines or systems touching several internal tools that need daily attention through launch and beyond.
Fits a single well-scoped agent, like a support or research assistant built on function calling against one or two systems.
Useful for a scoped proof of concept or for fixing a retrieval accuracy problem in an agent someone else already built.
Pairs an agent developer with a backend engineer when your project needs both the orchestration layer and new API endpoints built together.
We spend thirty minutes on what the agent actually needs to do and which systems it has to call, not a generic sales pitch.
We hand you one or two profiles matched on LangChain and LangGraph experience relevant to your use case, and you choose who joins.
Your developer reviews your data sources, API access, and any existing agent code during the first week before writing new logic.
We scope a two-week sprint around one concrete agent capability, like a working retrieval flow or a single tool-calling function, so you see output fast.
After that, it's regular standups, sprint reviews, and demos, with you deciding week to week whether to expand, hold steady, or wind down.
"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 the agent needs to do and we'll match you with a developer within a few days, no fixed-price contract required.
For your Addison, Texas business.