Trusted by companies across the USA
Add a LangChain and LangGraph developer to your Ardsley On Hudson team, billed hourly, no long contract required.
For your Ardsley On Hudson business.
Trusted by companies across the USA
A wealth management office tucked along the Hudson in this small Westchester hamlet recently tried to automate client intake using a chatbot template from a marketplace. It could answer basic FAQs but fell apart the moment a prospect asked a multi-step question involving portfolio minimums and document requirements. That is the gap between a chatbot and an actual AI agent, and it is the reason firms in Ardsley On Hudson end up looking for someone who has built agentic systems before, not someone who has only wired up an API call.
Most businesses in this part of Westchester County are small and specialized. Boutique advisory firms, real estate brokers working the river towns, and consultants who serve clients across the county and into Manhattan do not need a ten-person engineering team. They need one developer who understands LangGraph well enough to build an agent that can plan multi-step tasks, call tools correctly, and know when to hand off to a human instead of guessing. That is a narrow skill set, and it is not the same as general Python development, even though both show up on the same resume.
We staff these engagements from our team in Gandhinagar, India, and we are direct about that. There is no local office nearby and no claim otherwise. What matters is the overlap: our developers start their day as Eastern-time teams are finishing their morning coffee, and daily standups happen over Zoom on a schedule that fits your calendar, not ours. Code, documentation, and API keys stay under your accounts from day one, and nothing about the arrangement depends on us being down the street.
The technical work itself usually centers on a few recurring decisions. Should the agent use a vector database like Pinecone or pgvector for retrieval, or is the data small enough that a simpler lookup will do? Does the OpenAI API's native function calling cover the tool use case, or does the workflow need LangGraph's stateful graph structure to manage branching logic and retries? We have opinions on these tradeoffs, and we will tell you when a simpler architecture beats a fashionable one, even if that means a shorter project than you expected.
Hiring locally for this kind of role is not really practical here. It is a hamlet of a few thousand people, and the pool of engineers who have shipped a production LangChain agent is thin even across the wider New York metro area. That is exactly why staff augmentation makes sense. You get someone who has already debugged the annoying parts, like an agent looping on a tool call or a vector search returning stale context, without paying to train that experience in-house. The engagement runs hourly or monthly depending on how much ongoing work you expect, and it can scale up or down as the project moves from prototype to something client-facing.
One honest tradeoff worth naming: agent-based systems are harder to test than a typical CRUD feature, because the same prompt can produce different tool-call sequences on different runs. We build in logging and evaluation checkpoints from the start rather than bolting them on later, but that adds a bit of upfront time compared to a bare-bones proof of concept. Skipping that step to save a week almost always costs more later, once the agent is handling real customer conversations instead of test cases. If you are choosing between a quick demo and something you can actually hand to paying customers, we will tell you plainly which one your timeline and budget actually support, and what gets sacrificed if you rush it.
Our developers build with LangGraph and function calling for multi-step reasoning, which is what most local intake and support automation actually needs.
Aneri Developers has been building software since 2015, and our AI agent work draws on that same discipline around code quality and clear scope.
Our India-based team structures its day so standups and reviews land during your Eastern morning and midday hours.
Repositories, vector store configs, and API credentials stay in your accounts, not ours, from the first day of the engagement.
If a lighter Python script beats a full LangGraph pipeline for your use case, we will say so instead of over-building for the sake of billable hours.
That breadth means we have already hit most of the edge cases a growing business will run into with tool use and retrieval.
One developer embedded in your team full time, suited for building an agent platform from scratch or maintaining a production system.
Good fit when you need steady LangChain or vector database work but do not have full-time backlog yet.
Pay for actual hours logged against a specific agent feature or a scoped OpenAI API integration.
Pair a Python developer with a second specialist in retrieval or evaluation when the project outgrows one person.
We talk through what you want the agent to actually do, including which tools it needs to call, what data it should retrieve, and where it should stop and ask a human instead of guessing.
We shortlist one or two developers with direct LangGraph or vector database experience relevant to your use case, not a general Python bench list padded out for the sake of options.
Your developer reviews existing code or starts fresh, gets access set up under your own accounts and API keys, and confirms the technical approach with you before writing production code.
We scope a two-week block of work with a concrete deliverable, like a working agent flow or a tool-calling integration against the OpenAI API that you can actually test.
Regular check-ins, working demos instead of status slides, and direct access to your developer keep the project moving without surprises piling up near a deadline.
"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 will match you with a developer who has built something close to it before.
For your Ardsley On Hudson, New York business.