Remote AI Agent Development for USA A Dedicated Developer, Hourly or Monthly

An AI agent takes multi-step actions - it plans, calls your tools, reads results, decides again, and writes back to your systems. A chatbot answers questions, usually from a knowledge base, in a single back-and-forth (see /services/chatbot-development). An agent can ingest a lead, enrich it, score it in your CRM, draft outreach in your email tool, and update HubSpot or Salesforce - on its own, with a person approving the send. A chatbot can tell a customer the refund policy. They overlap (a support agent is a chatbot that can also take actions in Zendesk or Intercom), and one engagement can cover both - the scoping call sorts out which you actually need.

Two ways, billed in USD with a W-8BEN-E on file. By the hour at $25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 agent, a SOC 2-friendly evals pass, or a model swap. Or monthly at the standard $2,000 USD per dedicated developer for 160-172 hours of full-time, exclusive work in your repo and US cloud, on US morning overlap, with a 7-day risk-free trial - the better value when the agent is a rolling thing. Either way: a senior lead reviews and tests every release. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the agent framing. Model and platform usage (LLM tokens, embeddings, vector DB) is billed to your own accounts at cost. Add a developer at the same flat rate when the surface grows.

Whichever fits the case. LangGraph for stateful, graph-structured workflows. CrewAI for role-based multi-agent setups. AutoGen for conversational multi-agent. The OpenAI Agents SDK or the Anthropic SDK with tool use for single-agent flows where the framework would be overhead. A hand-rolled state machine when the orchestration logic is simpler. We pick on the scoping call and tell you why, in writing.

Several layers in production from day one. Per-tool permission scopes and input validation. Idempotent tool calls so a retry does not double-charge a card in Stripe. Approval gates on actions with consequences (sending an email, charging a card, modifying a CRM record) - a human approves, or it does not happen. Budget and rate caps on LLM calls. Eval suites that run on every prompt or tool change and catch regressions before they ship. Retries with exponential backoff, SQS dead-letter handling, and an escalate-to-human path. A SOC 2-friendly audit trail that an oncall engineer or compliance reviewer can read.

Yes - if you have an MCP server, the agent connects to it as an MCP client and uses your tools and resources through the standard protocol. If you do not, we can build one alongside the agent (see /services/mcp-server-development) - often the cleanest split when the tool surface is wide and you want other clients (Claude Desktop, Cursor, ChatGPT custom connectors) hitting it too. For a one-agent, one-use-case build, direct function calling against your APIs is usually simpler; we will recommend which one fits.

Whichever wins on your evals at a cost that works. Claude (Anthropic) is our default for tool use, long-context tasks, and the work where Claude's instruction-following helps. GPT (OpenAI) for cases where the latest model lineup is a fit. Gemini (Google) where multimodal or long-context discounts make sense. Open-source (Llama, Mistral, Qwen) for cost-sensitive or self-hosted cases. We support model swaps as a first-class operation - the prompt and tool surface stays the same; only the model and its config change.

You own it - your repo, your AWS or Azure or GCP account, your domain, your model keys, your data - from day one. We work inside your accounts, not ours, so there is nothing to claw back if the engagement ends. Model and platform usage (LLM tokens, embeddings, vector DB seats) goes against your accounts at cost, not marked up.

Within 48 hours of sign-off: a scoping call on a US-morning slot, a written scope and team proposal, then onboarding - your repo, your cloud, a working local environment - on day one. The first 7 days on the monthly plan are a risk-free trial with a full refund if it is not a fit and a no-cost developer swap inside that window. On the hourly plan, you have already seen what an hour buys. After that it is monthly billing with 7 days notice to stop, or hourly with stop-any-time - no auto-renewal, no minimum term.

AI agents (this page) take multi-step actions against your systems - planning, tool use, writing back. AI automation (see /services/ai-automation-services) is the manual workflow behind the scenes - documents, data, routing, reports - running on a schedule with a human in the loop. A chatbot (see /services/chatbot-development) answers questions from your knowledge base. They overlap, and one engagement can do more than one; the scoping call sorts out which you actually need.