AI agent development services
AI agent development services: agents that work through your systems to answer customers, qualify leads, process orders and documents, run back-office tasks and research, as single agents or multi-agent workflows on the OpenAI Agents SDK, Claude Agent SDK, LangGraph, Microsoft Agent Framework or Google’s Agent Development Kit, connected to your tools through APIs and Model Context Protocol servers, with dedicated AI agent developers for your team or an agent delivered end to end.
Agents we build
Customer support agents
Agents that answer from your help centre and order data, check an order, start a return or update a ticket in Zendesk, Intercom, Freshdesk or your own system, and hand the conversation to a person with a summary when the decision is not theirs to make.
Sales and lead qualification agents
Inbound leads researched, qualified against your criteria, logged in HubSpot or Salesforce and booked into a calendar, with outbound drafts that a person approves before anything is sent.
Back-office and operations agents
Orders, invoices, claims and onboarding requests read, checked against your rules and entered into the ERP, CRM or HR system, with every exception queued for a person.
Research and analysis agents
Agents that search the web, your documents and your databases, compare what they find and write a cited report, for market research, due diligence, proposals and competitor tracking.
Agents inside your product
An agent your own users talk to, acting on their data in your SaaS product with their permissions, streamed into your interface and metered per customer.
Multi-agent workflows
Specialised agents under a coordinator, or a fixed graph of steps where some steps are agents, with durable state in LangGraph, Microsoft Agent Framework or Azure Durable Functions, so a run survives a restart and can wait days for an approval.
Browser and computer-use agents
Agents that operate websites and applications without an API through Playwright or the computer-use tools from OpenAI and Anthropic, limited to the screens and accounts they are given.
Agent evaluation and observability
Test scenarios replayed on every change to a prompt, tool or model, every step traced in Langfuse, LangSmith or OpenTelemetry, and cost and success rate per task on a dashboard.
Agent security
Narrow, short-lived credentials per tool, prompt-injection tests against the documents and pages the agent reads, and a person’s approval before anything is sent, paid, deleted or changed for a customer.
Hire AI agent developers
Dedicated AI agent developers
AI agent developers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.
AI agent development projects
A defined piece of AI agent development with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.
Ongoing AI agent development
AI agent development as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.
The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.
Who works on your AI agent development
AI agent developers
Python and TypeScript, agent frameworks and tool calling
.NET, Python and Node.js engineers
The APIs and integrations agents call
Front-end engineers
Chat, approval and monitoring interfaces
Business analysts
Process maps, exceptions and acceptance criteria
QA engineers
Scenario tests and evaluation sets
Agents trusted with real work
An agent starts from one process and a measurable outcome: tickets resolved without a person, leads qualified per day, documents processed per hour. We map the process with its exceptions, build the narrowest agent that handles the common path, and measure it on your own cases before it touches a customer.
Model output is treated as untrusted input. The agent gets only the tools and data the task needs, every action is logged with the steps that led to it, and actions that change data, send messages or spend money wait for a person until the evaluation shows they can run alone.
Other AI development services we provide
AI integration
AI integration services: language models from OpenAI, Anthropic, Google and Mistral added to your .NET, Java, Python or Node.js application, SaaS product or MVP, with evaluation, cost monitoring and data protection, by dedicated AI developers or project delivery.
AI chatbot development
AI chatbot development services: support chatbots on your website and app, WhatsApp, Telegram and Messenger bots, Teams and Slack assistants, and AI in Intercom and Zendesk, grounded in your content, by dedicated chatbot developers or project delivery.
AI knowledge search and RAG
AI knowledge search and RAG development services: cited answers and enterprise search over your documents with each user's permissions, ingestion, retrieval tuning, evaluation and fixes for RAG that gives wrong answers, by dedicated RAG developers or project delivery.
AI document processing
AI document processing services: invoices, contracts, ID documents, claims and forms turned into structured data with OCR and multimodal models, validated, reviewed by a person where needed and posted to your ERP, by dedicated developers or project delivery.
Voice AI agents
Voice AI agent development: phone agents and AI receptionists, outbound reminder calls, in-app voice assistants and call analytics on OpenAI Realtime, ElevenLabs, Vapi, Retell AI and LiveKit, by dedicated voice AI developers or project delivery.
Microsoft Copilot and Copilot Studio
Microsoft Copilot development services: Copilot Studio agents, Microsoft 365 Copilot declarative and custom engine agents, Copilot connectors, MCP and API actions, governance and adoption, by dedicated Copilot Studio developers or project delivery.
AI coding assistants
AI coding assistant services: GitHub Copilot, Claude Code, Cursor and Codex rolled out with governance, repository instructions, coding agents in CI, AI code review and AI-written tests, plus developers who already work this way.
AI consulting
AI consulting services: AI opportunity assessment, use cases ranked by value, build or buy advice, proofs of concept on your data, running cost estimates, security and EU AI Act review, and a roadmap, from engineers who build AI systems.
MCP server development
MCP server development services: remote Model Context Protocol servers with OAuth for your product, ChatGPT apps and Claude connectors, internal MCP servers for company systems, in TypeScript, Python or C#, by dedicated MCP developers or project delivery.
Private LLMs and fine-tuning
Private LLM deployment and fine-tuning services: open-weight models fine-tuned with LoRA, distilled and served with vLLM in your own cloud or servers, hosted fine-tuning, training data and evaluation, by dedicated LLM engineers or project delivery.
Questions about AI agent development
What is the difference between an AI agent and a chatbot?
A chatbot answers. An agent also acts: it calls your systems to look up records, change them, send messages or start workflows, choosing the steps itself within the tools and rules it is given. Most useful agents do both, answering where they can and acting where you allow it.
Which agent framework do you use?
The one that fits your stack: the OpenAI Agents SDK, Claude Agent SDK, LangGraph, Microsoft Agent Framework, Google’s Agent Development Kit or Pydantic AI, over models from OpenAI, Anthropic, Google or an open-weight model you host. The model sits behind one interface, so changing it is a configuration change and a re-run of the evaluation.
How do you stop an agent from doing something it should not?
By design rather than by prompt: each tool has its own narrow credentials, destructive and financial actions need a person’s approval, text from documents and web pages is treated as untrusted, and every action is logged. Scenario tests, including prompt-injection attempts, run before each release.
What does an agent cost to run?
Every run is logged with its tokens, tool calls and price, so you see the cost per task from the first test. Smaller models for simple steps, caching and shorter context usually bring it down, and the estimate comes before the build.
How quickly can AI agent developers start?
When the right AI agent developer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.
How do we hire AI agent developers through BigTree108?
Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.
Who owns the work they produce?
You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.
Have a process an agent could take over?
Tell us the process, the systems it touches and how often it runs. You get an answer within one business day: a plan for a first agent, candidate profiles, or a recommendation on where an agent pays back first.