AI & Automation
Hire AI Agent Developers
AI agent developers build systems where a language model plans steps and uses tools, such as searching, updating records or sending messages, to complete a task.
The role
What AI agent developers do
An agent developer defines which tools the model may use, designs guardrails and approval steps, handles failures and loops, and logs every action. Reliable agents are usually narrow, with clear limits, rather than general assistants that can do anything.
Typical deliverables
- Agents that complete defined multi-step tasks
- Tool integrations with your systems
- Permission limits and human approval steps
- Logs and replay of agent actions
- Evaluation on real task examples
Tools you will see
- OpenAI or Anthropic APIs
- Tool and function calling
- Model Context Protocol
- LangGraph or custom orchestration
- Observability tools
Choosing
How to choose AI agent developers
What to look for
- Working agents with a narrow, measurable job.
- Human approval before irreversible actions.
- Logging that shows exactly what the agent did.
- Honest success rates from testing.
Questions to ask
- 1Which actions should require human approval?
- 2How often does your agent complete tasks correctly in testing?
- 3What stops the agent looping or taking harmful actions?
- 4How would we review what the agent did?
Planning
Before you post the job
Start with one task
Pick one repetitive task with a clear success check for the first milestone, and expand after it works reliably.
What drives cost
Number of tools and integrations, safety controls, evaluation and model usage.
Hiring on Open Lance
- Posting a job and reviewing proposals are free.
- Each milestone is funded into escrow before work starts and paid when you approve it.
- Hire fixed-price, hourly, as a monthly Dedicated Hire, or buy a packaged Drop-In.
- Client fees are shown before you pay and added on top of the work.
FAQ
Questions about hiring AI agent developers
Are AI agents reliable enough for business use?
For narrow tasks with good testing and guardrails, often yes. Broad autonomous agents are still unreliable.
What is the Model Context Protocol?
An open standard for connecting AI applications to tools and data sources.
Can an agent act in our CRM?
Yes, through its API, ideally with limited permissions and approval for important changes.
Related
Related skills
Post a job for AI agent developers
Describe the work and compare proposals. You only fund the first milestone once you have chosen someone.