Alabama, New York

Hire a AI Agent Developer in Alabama

Build automated agents for your Alabama business with a remote LangChain and OpenAI API specialist.

Hire a AI Agent Developer

For your Alabama business.

Trusted by companies across the USA

The SIR Group
Online Traffic Education

A furniture wholesaler outside Alabama, New York spent three months trying to get a chatbot vendor to build something that could actually check inventory before promising a delivery date. The bot could chat. It just couldn't do anything useful, because nobody had wired it to the company's own systems. That gap between a model that talks and an agent that acts is exactly where most AI projects stall, and it's the reason business owners in Alabama end up searching for a developer who has actually shipped tool-calling agents before, not just API demos.

An AI agent developer's job is different from a typical chatbot builder. We're talking about someone who can design a LangGraph state machine that routes a customer request through multiple steps, retries when a tool call fails, and asks a human for approval before it touches a payment or a database write. In Alabama, New York, we've fielded requests from small logistics operators, a regional insurance broker, and a couple of e-commerce sellers, all wanting the same underlying thing: an agent that reduces manual lookup work without introducing new risk. The technology stack matters less than the judgment behind it.

When you hire through Aneri Developers, you get a Python-focused engineer who works with function calling and vector databases daily, not someone learning on your budget. We're based in Gandhinagar, India, and have been building software since 2015, with the last few years spent almost entirely on LLM-integrated systems. That remote setup isn't a compromise. It means your Alabama business gets a developer who overlaps with your morning hours, joins your standups over Zoom, and hands you clean, documented code you own outright.

Think about what the insurance broker actually needed: an agent that could pull policy details from an aging internal database, cross-reference them against a vector store of underwriting guidelines, and draft a response a human agent could approve in seconds instead of minutes. That's a LangChain retrieval pipeline paired with function calling, nothing exotic, but it required a developer who understood both the tooling and the broker's actual workflow. Most of the value in these projects comes from that translation work, not from the model itself.

One honest tradeoff worth naming: agent systems built on tool use and retrieval are harder to test than a normal CRUD app, because the same prompt can behave slightly differently run to run. A developer who tells you it's fully predictable on day one is guessing. What we do instead is build in logging, evaluation harnesses, and guardrails from the start, so when something drifts during New York business hours, you catch it before a customer does. It also means setting expectations early about what the agent should never be allowed to do without a human checking first.

Because we work hourly rather than on a fixed project quote, you're not locked into a scope written before anyone understood the real data. Requirements for agent projects shift once you see the first working version, and that's normal. What stays constant is the developer's familiarity with Python, OpenAI's API, and the vector database choices that actually fit your data volume, whether that's a few thousand documents or a few million records.

Why Choose Aneri Developers in Alabama, New York

Agents That Call Real Tools

We build with function calling and structured outputs so your agent can query databases and trigger workflows, not just answer questions for your Alabama team.

LangGraph for Multi-Step Logic

Complex approval chains and retries get modeled as graphs rather than tangled prompt chains, which matters once your New York operation scales past a single use case.

Vector Search Done Right

We pick and tune the vector database to your data volume and query patterns instead of defaulting to whatever's trendy that month.

Daily Overlap, No Time Zone Guessing

Our developers structure their day around US morning and midday hours so your Alabama stakeholders get real-time answers, not next-day replies.

Ten Years, Not a Startup Bet

Aneri Developers has been operating since 2015 with over 500 delivered projects, so you're hiring into a track record, not an experiment.

You Own Every Line

Code, prompts, and infrastructure configs are yours from day one, with full repo access and no vendor lock-in tricks. If you ever move the work elsewhere, you take a working system with you, not a black box.

Engagement Models

Full-Time

160 hrs/month

One developer dedicated to your agent project full-time, ideal when you're building or scaling a production system fast.

Part-Time

80 hrs/month

A solid fit for ongoing agent tuning, prompt refinement, and smaller feature additions without a full-time commitment.

Hourly

Flexible

Pay only for hours logged, useful for a proof-of-concept or when scope is still taking shape.

Team Hire

Bring on a developer plus a QA or backend engineer together when your agent needs to plug into a larger system.

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 Alabama

Get Started
1

First Conversation

We talk through what you want the agent to actually do, which tools it needs to call, and what a bad outcome would look like so we can design against it.

2

Your Developer Pick

You get a short profile and a quick call with a developer who's worked on comparable LangChain or LangGraph projects, not a generic resume.

3

Getting Your Developer Up to Speed

In the first week, they map your data sources, existing APIs, and any compliance limits before writing production code.

4

Starting the First Sprint

We agree on a scoped first sprint, usually a single agent workflow end to end, so you see working output within days, not months.

5

Day-to-Day Execution

After that, it's regular sprints, weekly demos, and direct Slack access, with you setting priorities as the agent's scope grows.

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

Most clients get a matched developer within a few business days once we understand the scope. If you already have API access and data sources ready, the developer can start meaningful work in the first week rather than spending it on discovery alone.

We can start from scratch. That usually means choosing a vector database, setting up OpenAI API access, and scaffolding the LangGraph workflow before any client-facing feature gets built.

Our team is based in Gandhinagar, India, and structures work hours to overlap with US mornings and early afternoons. You'll get standups over Zoom, async updates in Slack, and a shared project board, so there's no ambiguity about progress.

Yes, that's largely the point of function calling and tool use. We connect agents to CRMs, internal databases, or scheduling systems, though each integration adds its own testing time, which we scope upfront rather than promising instantly.

It depends on how defined your requirements are. Hourly hiring works best when scope will shift as you learn what the agent needs to do, while a fixed quote fits only when requirements are already locked, which is rare for a first agent build.

Agents built on large language models can behave inconsistently on edge cases, especially with ambiguous input, so we build monitoring and fallback rules rather than claiming perfect reliability. Any developer promising zero errors on day one isn't being straight with you. We'd rather set that expectation now than have you discover it three months into a launch.

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For your Alabama, New York business.

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