Adams Basin, New York

Hire a AI Agent Developer in Adams Basin

Build agents that reason, call tools, and finish tasks for your Adams Basin business without adding headcount.

Hire a AI Agent Developer

For your Adams Basin business.

Trusted by companies across the USA

The SIR Group
Online Traffic Education

A farm equipment dealer near Adams Basin, New York was fielding the same parts inquiries by phone every day, digging through supplier catalogs by hand while callers waited on hold. That kind of repetitive lookup work is exactly where an AI agent earns its keep, and it is why more small and mid-sized operations around Adams Basin are asking us to build one instead of hiring another support rep. An agent that can search a parts database, check pricing, and draft a quote reply does not get tired of the fortieth call of the day. It also does not forget to follow up, which is where most manual processes quietly leak revenue.

We are Aneri Developers, and our engineering team works out of Gandhinagar, India, building AI agents for clients across the US, including businesses in New York. We are not a local Adams Basin shop and we do not pretend to be. What we offer instead is a team of developers who have spent real hours in LangChain and LangGraph, who know when function calling beats a fine-tuned model, and who show up on video calls during your morning hours to walk through what shipped that week. Ten years of building software, mostly for clients we have never met in person, has taught us that clear communication matters more than proximity.

Hiring an AI Agent Developer for your Adams Basin operation usually starts with a narrow, well-defined problem: automate quote generation, triage inbound leads, or summarize inspection reports. We build with Python because the agent tooling ecosystem, from LangGraph's state machines to vector database clients, is most mature there. A developer on your project will wire up retrieval over your own documents, decide which tasks need a tool call versus a plain LLM response, and test the agent against edge cases before it ever touches a live customer. That testing phase is where most of the real engineering happens, not in the first working demo.

One tradeoff worth naming upfront: agents built on OpenAI's API depend on a third-party model provider, so latency and cost can shift when the provider changes pricing or rate limits. We design around that with caching and fallback logic, but it is not a variable we control entirely. New York businesses working with us get a developer embedded in their workflow, daily or near-daily check-ins, and full ownership of the code and prompts from day one. Nobody on our side holds your data or your agent hostage to a support contract; if you want to take the code in-house later, it is already yours.

Why Choose Aneri Developers in Adams Basin, New York

Agents built to finish tasks, not chat

We focus on function calling and tool use so your business gets an agent that completes actions, not one that just answers questions.

LangGraph for multi-step reasoning

When a single prompt won't cut it, we build stateful LangGraph workflows that can branch, retry, and hand off between steps reliably.

Vector search grounded in your data

We connect vector databases to your actual documents and records so agents answer from your reality, not generic training data.

Daily overlap with your New York hours

Our developers block out morning-to-early-afternoon Eastern hours for standups and reviews, so you're never waiting overnight for a reply.

Ten years, one focused team

Founded in 2015, Aneri Developers has shipped over 500 projects across 20-plus countries, and our AI agent work draws on that same engineering discipline.

You own everything

Every prompt, chain, and line of Python we write for your project belongs to you, with no vendor lock-in on our end.

Engagement Models

Full-Time

160 hrs/month

A dedicated developer working solely on your agent project, ideal when you're building multiple workflows or need fast iteration.

Part-Time

80 hrs/month

Good fit for a single well-scoped agent, like a support triage bot or an internal research assistant.

Hourly

Flexible

Useful for a proof of concept or a specific integration, like adding a new tool or vector store to an existing agent.

Team Hire

For larger builds, we pair an agent developer with a backend or data engineer so the whole pipeline gets covered.

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 Adams Basin

Get Started
1

First Conversation

We talk through the workflow you want automated and whether it genuinely needs an agent or just a simpler script.

2

Your Developer Pick

We put forward one or two developers whose LangChain or LangGraph experience fits your use case, with their past work to review.

3

Getting Up to Speed

Your developer spends the first week reading your data sources and existing tools before writing a single prompt.

4

First Sprint Plan

We agree on a narrow first milestone, usually a working agent handling one task end to end, with a date attached.

5

Weekly Delivery Rhythm

From there it's regular demos, prompt refinements, and steady expansion of what the agent can handle on its own.

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 an agent developer knows the specific failure modes of LLM-driven systems, like when a model hallucinates a tool call or loops indefinitely. They also know how to structure retrieval and memory so the agent stays grounded. That experience shortens the path from prototype to something you'd trust running unattended.

Yes, function calling is built for exactly this. We connect agents to your CRM, inventory system, or internal APIs so the agent can look things up and take action rather than just describing what it would do. We'll ask about your current stack in the first call to scope this properly.

Your developer is based in India but works overlapping hours with the US morning and early afternoon. You'll get async updates through Slack, a recurring video call each week, and Loom walkthroughs of anything shipped in between. It's a rhythm most of our New York clients settle into within the first couple weeks.

Not necessarily. If your documents live in spreadsheets, PDFs, or a basic database, we can build the vector database layer as part of the project. It does help to know roughly what data the agent needs to reason over before the first sprint.

We design prompts and caching to keep token usage reasonable, and we'll show you projected costs before anything goes to production. It's an honest tradeoff: agents relying on hosted models carry an ongoing usage cost that a fixed-price app wouldn't have, so we factor that into planning from the start.

We treat the first sprint as a testing ground, not a finished product. If accuracy or reliability falls short, we adjust the prompt structure, add retrieval, or restructure the LangGraph flow before moving forward. Most agents need at least one or two rounds of tuning against real examples from your business.

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