Trusted by companies across the USA
Ardsley teams get a dedicated AI agent developer fluent in LangGraph, function calling, and vector search.
For your Ardsley business.
Trusted by companies across the USA
A financial advisory shop near the Ardsley train station recently asked us for help building an internal agent that could pull client portfolio data, check compliance flags, and draft a summary email, all without a human copying numbers between three systems. That kind of request is common in Westchester County, where wealth management, professional services, and healthcare administration firms sit close together and share the same headache: too much manual document handling and not enough engineering bandwidth to fix it. Hiring an AI agent developer is usually the fastest way through that wall, provided the person you bring on actually understands how to keep an autonomous agent from making expensive mistakes.
Our developers building for clients around Ardsley, New York work primarily in Python, using LangChain and LangGraph to structure multi-step agent workflows rather than duct-taping prompts together. LangGraph in particular matters once an agent needs to branch, retry, or hand off between sub-tasks, which is nearly always the case once you move past a simple chatbot demo. We pair that with the OpenAI API for reasoning and function calling, and a vector database, often Pinecone or pgvector depending on what the client already runs, so the agent can retrieve relevant documents or records instead of guessing. Tool use is where most agent projects actually earn their keep: connecting the model to your CRM, your billing system, or an internal API so it can take real action, not just answer questions.
We are based in Gandhinagar, India, and every engineer on an Ardsley engagement works remotely from there. That is worth saying plainly rather than dancing around it. What makes the arrangement work for New York clients is overlap: our team shifts hours to cover your morning and early afternoon, runs daily standups over Zoom, and shares progress through Slack and short Loom walkthroughs so nothing gets lost between updates. You get commit access, environment credentials, and full ownership of every line of code from day one, no separate handoff step required.
Where this gets honest: agent development is still a young discipline, and even well-built agents need guardrails, monitoring, and a fallback to a human for edge cases you did not anticipate. We tell clients that upfront instead of promising a system that never needs supervision. If you are trying to decide between a chatbot vendor and an actual AI agent developer for a New York business, the difference usually comes down to whether the system can take multi-step action on its own or just answers questions in a box.
Our developers build with LangGraph and function calling so your agent can query systems and execute tasks, useful for Ardsley firms replacing manual data pulls.
Aneri Developers has shipped over 500 projects since 2015, giving our AI agent developers a habit of writing production code, not weekend-hackathon prototypes.
Our team in India adjusts hours to meet your New York morning, so standups and code review happen while you're actually at your desk.
We pick the vector database, whether Pinecone, Weaviate, or pgvector, based on your data volume and latency needs rather than defaulting to whatever is trendy.
Every commit lands in your GitHub org from the first day, so an Ardsley client never has to negotiate for access to their own agent's codebase.
You hire one developer or a small pod sized to the work, not a bloated team billing hours on a roadmap nobody asked for.
One AI agent developer working your project as their sole focus, suited to building an agent platform from the ground up.
Good fit for maintaining an existing agent, adding new tools, or running a scoped LangChain proof of concept.
Pay for the hours logged, useful when you need a specific integration like a new vector database or a function-calling endpoint.
Bring on a developer plus a backend engineer or QA specialist when the agent needs to plug into several internal systems at once.
We talk through what you need the agent to do, which systems it needs to touch, and where your current process breaks down.
We shortlist one or two AI agent developers whose LangChain and vector database experience fits your use case, and you interview them directly.
Your developer spends the first week reading your codebase, mapping data sources, and confirming which APIs the agent will call.
We scope a two-week sprint around one working piece of the agent, usually the retrieval or tool-calling layer, so you see something functional fast.
Standups, sprint demos, and a shared task board keep the work visible, with your developer adjusting priorities as your agent's scope evolves.
"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 want the agent to do and we'll match you with a developer who has actually built something similar, starting with a short call this week.
For your Ardsley, New York business.