Hire AI agent developers · Dedicated, monthly
Hire AI agent developers who start in 5 to 10 days.
Engineers who build AI features that hold up in production: agents that call your APIs, retrieval over your documents, evaluation sets that catch regressions and the logging that tells you what each answer cost. Vetted in five steps, working in your tools and time zone, with a two-week replacement guarantee.
1 senior AI agent developer · 160 hours a month
from $4,800/month
All-inclusive, no recruitment fee, two-week replacement guarantee.
Monthly rates
| Level | Experience | Monthly |
|---|---|---|
| Mid-level | 3 to 5 years | $3,600 to $4,800 |
| Senior | 5 to 8 years | $4,800 to $6,600 |
| Lead | 8+ years | $6,600 to $7,800 |
Full-time, 160 hours a month, equipment and HR included. Hourly equivalents $23 to $49. No recruitment fee.
What our AI agent developers bring.
- OpenAI, Anthropic Claude and Gemini APIs
- AWS Bedrock and Vertex AI
- Tool calling and multi-step agents
- MCP servers
- RAG: chunking, embeddings, pgvector, OpenSearch
- Evaluation sets and LLM-as-judge scoring
- Prompt caching and cost tracking
- Python (FastAPI) and TypeScript (Node.js, NestJS)
- Guardrails, PII redaction and audit logs
When teams hire this role from us.
- Add an agent to an existing SaaS that reads and writes through your API with permission checks
- Build retrieval over contracts, manuals or tickets with page-level citations
- Take an AI prototype that works in demos and add evaluations, logging, retries and cost limits before launch
From brief to first commit.
- 01
Brief
Tell us the stack, seniority and start date. 15 minutes on a call or a short form.
- 02
Shortlist in 48 hours
Two or three profiles with CVs, code samples and interview notes.
- 03
Interview
You interview them your way. Technical test optional; we already ran ours.
- 04
Start in 5 to 10 days
Access, onboarding and first stand-up in your hours. Two-week replacement guarantee.
Five steps before you see a profile.
Two-week free replacement if an engineer is not the right fit, and a 30-day notice to scale down.
- 01CV and portfolio screen against the role brief
- 02Technical interview with a senior engineer in the same stack
- 03Live coding or take-home exercise reviewed for quality, not speed
- 04English communication and async-writing check
- 05Reference check and background verification before onboarding
Updated
What an AI agent developer does on our teams
An AI agent developer builds the parts of a product that call a language model: the tools an agent may use, the retrieval that grounds its answers, the evaluation set that says whether a change made it better or worse, and the logging that shows what each request cost. Recent examples from our case studies include a RAG pipeline on AWS Bedrock that extracts 50+ data points per government contract with a self-correcting evaluation pass, and streaming story generation that records token usage on every call.
How we assess AI agent developers
- Tool design: expose two API endpoints to a model as tools with validation, permission checks and safe failure
- Retrieval: chunk a set of documents, choose an embedding model and show retrieval quality on test questions
- Evaluation: write a small evaluation set and explain how it would catch a regression
- Cost and latency: estimate cost per request and show where caching or a smaller model would help
- Sample task: a three-hour agent that answers questions over supplied documents and creates a ticket through a mock API, with tests
| Comparison | Innovation Insight | Freelance marketplace | US in-house hire |
|---|---|---|---|
| Monthly cost (senior) | $4,800 to $6,600, all-inclusive | $9,000 to $16,000 plus platform fees | About $16,200 with benefits (BLS median salary) |
| Time to start | 5 to 10 business days | 1 to 3 weeks | 6 to 12 weeks |
| Replacement | Free within two weeks, 30-day notice after | Trial period, then re-match | Notice period and a new recruitment cycle |
| Who manages | You, with our delivery lead on call | You | You |
Rates on this page were reviewed in October 2026. For a whole product rather than a hire, see AI agent development and generative AI development; for model work on your own data, see AI and ML engineers.
What it's like to work with us.
Unedited, from founders and product leads who trusted us with their roadmap.
Innovation Insight has been a game-changer for our platform. Their expertise in UX/UI design and seamless technical integration helped us enhance user engagement, and their attention to detail ensured a flawless experience. We're beyond satisfied with the outcome and their commitment to our vision.
Working with Innovation Insight felt like a true collaboration. Their team was responsive, creative, and focused on delivering results that matched our brand identity. Thanks to them, we now have a solution that not only meets our needs but exceeds expectations. Highly recommended!
MatterbooksPublishing · MediaInnovation Insight provided us with an innovative and scalable solution that transformed the way we manage our operations. Their approach to problem-solving, combined with their deep understanding of technology, made them an invaluable partner. The results speak for themselves.
Hiring AI agent developers, answered.
AI agent developer or ML engineer?
Hire an AI agent developer to build products on top of hosted models: prompts, tools, retrieval and evaluation. Hire an ML engineer when you need to train or fine-tune models on your own data, such as forecasting or recommendations.
Which models do they work with?
OpenAI, Anthropic Claude and Google Gemini through their APIs, and the same models through AWS Bedrock or Vertex AI when your data has to stay in your cloud account. They choose per task and measure the result.
How do you stop an agent doing something wrong?
Agents only act through tools with the same permission checks as your API, write actions can require confirmation, every call is logged, and an evaluation set runs before each prompt or model change.
Other roles
Prefer a managed project? See our ai and data solutions service.