Trusted by companies across the USA
Build agentic workflows for your Amawalk business with a developer fluent in LangGraph and function calling.
For your Amawalk business.
Trusted by companies across the USA
A landscaping and property services firm working out of northern Westchester once asked us a simple question: could an agent read incoming customer emails, check the crew schedule, and draft a reply without someone re-typing the same three answers all day. That is a common starting point for small operators near Amawalk, New York, where the business mix leans toward home services, boutique consulting shops, and small professional practices that run lean and cannot afford a full internal engineering team. The work itself is not simple, though. It means chaining OpenAI API calls to LangGraph state machines, wiring up vector databases so the agent actually knows your business instead of guessing, and handling function calling correctly so the agent can act, not just chat.
Most businesses in Amawalk that come to us for this are not trying to build a chatbot for its own sake. They want an agent that reduces a specific, recurring chunk of manual work, whether that is triaging support tickets, pulling data from three different systems into one summary, or handling first-pass qualification of inbound leads before a human ever touches them. Our developers work in Python day to day, building the orchestration layer with LangChain or LangGraph depending on how much branching logic the workflow needs, and they treat tool use as the actual product, not a demo feature. If the agent can't reliably call your CRM's API or query your document store, it is not done yet.
We are based in Gandhinagar, India, and we are upfront about that. There is no Aneri office in New York, and we are not pretending otherwise. What we offer instead is a developer who overlaps a solid chunk of your morning through early afternoon Eastern time, joins your daily standup over Zoom, and ships work you can review the same day through Slack or a quick Loom walkthrough. Clients across 20-plus countries have run this model with us since 2015, and for AI agent work specifically, the async-friendly nature of the job (reviewing agent transcripts, tuning prompts, checking retrieval accuracy) actually fits a distributed team well.
One honest caveat: if your project needs someone walking your office floor to shadow a manual process in person, this is not that. Everything happens over a call, a shared repo, and written specs. For a New York business whose workflow can be described, screen-shared, or documented, that tradeoff rarely matters. For one that genuinely cannot be explained without standing next to the person doing it, this model asks more of you upfront in describing the problem clearly.
Our developers have shipped LangGraph agents that call real tools and hit production APIs, not just proof-of-concept scripts for Amawalk-based clients to admire once.
Every agent build gets proper version control, logging, and error handling in Python, so the thing you rely on doesn't quietly break at 2 a.m.
We help you pick between Pinecone, Weaviate, or pgvector based on your actual data volume and query pattern, not whatever was trending that month.
Aneri Developers has run since 2015 with the same core leadership, which matters when you're trusting someone with your agent's access to internal systems.
Our developers structure their day to overlap with Eastern time business hours, so a New York-based team isn't waiting until tomorrow for a one-line prompt fix.
Repositories, API keys, and agent configurations stay under your control from day one, whether you're a solo operator near Amawalk or scaling past that.
One developer dedicated to your agent roadmap full time, best when you have multiple workflows to automate in sequence.
Good fit when you have one well-defined agent to build and maintain, plus occasional prompt or tool updates.
Pay only for the hours logged, useful for a scoped proof-of-concept or a fix to an existing LangChain pipeline.
Bring on a small pod covering agent orchestration, backend integration, and QA together when the scope outgrows one developer.
We talk through the manual process you want an agent to take over and flag anything that sounds like a bad fit early. No sales script, just a straight assessment.
You get a short profile and a chance to talk directly with the LangChain or LangGraph developer we're proposing before anything is confirmed.
Your developer spends the first week mapping your data sources, existing tools, and API access so the agent has something real to work with.
We scope the first two-week block around one working piece of the agent, not the whole roadmap, so you see something functional fast.
Standups, sprint reviews, and shared task boards keep the build visible, with prompt and tool changes logged so you can trace why the agent behaves a certain way.
"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 handle and we'll walk you through a realistic scope and timeline before you commit to anything.
For your Amawalk, New York business.