Hire AI developers placed in 2-4 weeks, from $3K a month

Not as a freelancer. A freelance AI automation developer is usually one person on an hourly contract you still vet and manage. We place an engineer from our own team on an ongoing basis, with the 90-day replacement guarantee. For a fixed-scope automation project, our n8n and custom automation services are project based.

Yes. The agentic AI developers we place build agents that plan and run several steps, call your tools through MCP, and carry the guardrails and checks they need in production. They work with Claude Code, n8n and E2B sandboxes, inside your GitHub repo and Slack. Placement runs 2 to 4 weeks from request to start, from $3K a month.

No. A placed AI developer works for you on an ongoing basis, priced from $3K a month with no recruiting fee and no employer taxes on top. Hourly billing is how freelance marketplaces usually work. For a fixed-scope build, our project-based services, such as AI agent development and custom automation, are priced per project.

Yes, through the Golden Offer: 1 to 5 engineers across Forward Deployed Engineer, GTM Engineer and AI Automation Architect roles, run by one accountable engineer. It uses the same bench and the same 90-day replacement guarantee as a single placement, and is scoped on a kickoff call.

A job board gives you applicants to screen. We place AI engineers from our own team, already assessed for technical depth and agent orchestration, so you skip sourcing and interviews. Placement starts from $3K/month with a 2-4 week window and a 90-day replacement guarantee.

Our default is a placed engineer who joins your team on an ongoing basis. If you need a defined scope instead of a hire, our AI agent development and custom automation services are project based. Book a call and we route you to whichever fits.

Placement starts from $3K/month with no recruitment fee. The table on this page compares that with a typical US hire once taxes, benefits and recruiting cost are counted. The staffing model calculator lets you run your own numbers.

Usually one of two things: adding an AI-native engineer to your team who directs a fleet of coding agents (Claude Code and similar tooling) to cover the output of a small team, or bringing on a small AI engineering team to execute a defined roadmap. AY Automate places both: one engineer through Engineer Placement, or 1 to 5 engineers through the Golden Offer.

Marketplaces and staffing agencies connect you to individual freelancers or candidates you still have to vet, interview, and manage yourself. We place developers directly from our own team, already assessed for technical depth and agent-orchestration experience, so there is no sourcing or interview loop on your side.

Placement through Engineer Placement starts from $3K/month, with no recruitment fees or employer tax overhead on top. The Golden Offer, for teams hiring more than one engineer, is scoped on a kickoff call based on the roles and roadmap. Both are priced well under a comparable US in-house hire once taxes, benefits, and recruiting costs are included.

Most Engineer Placement requests move from discovery to shortlist within a few days, with a 2-4 week window from request to start, against a 3-6 month norm for a US hire. Golden Offer timelines depend on the number of roles and are set on the kickoff call.

Product features end to end, internal tools, workflow automations, GTM pipelines, and agentic systems wired into your existing stack. The exact skill set (n8n automation, full-stack engineering, AI/LLM integration) depends on the role you request, see the roles above.

If you need one dedicated hire to cover a defined gap, start with Engineer Placement. If you have a fuller roadmap or need more than one role, the Golden Offer assembles 1 to 5 engineers across Forward Deployed Engineer, GTM Engineer, and AI Automation Architect roles under one accountable lead. Not sure which fits? Book a call either way, we route you to the right option on it.

If the fit is wrong, we replace the developer at no extra cost inside the first 90 days. We check in during onboarding so problems surface early, and we adjust scope first when that solves it.

An AI developer, often called an AI engineer, builds products on top of existing models: LLM integrations, agents and automations running in production. An ML engineer trains and deploys models. A data scientist analyzes data to answer business questions. Most teams adding AI features need the first role. Our guides on AI engineer vs ML engineer and how to hire AI engineers, linked above, cover the split.

You book a free call and describe the role and what needs building. We shortlist from our own bench, usually within a few days, after assessing technical depth, agent-orchestration experience and team fit. You meet the developer, and they start inside the 2 to 4 week window. There is no sourcing or interview loop on your side.

Hire in-house when you need an on-site employee and can wait 3 to 6 months. A freelancer or a project-based agency fits a one-off project with a fixed scope. A placed developer fits ongoing capacity you need within 2 to 4 weeks, from $3K a month, with a 90-day replacement guarantee and no interview loop.

Claude Code and agent tooling. Every developer we place directs a fleet of coding agents: Claude Code does the reasoning, MCP connects the agents to your tools, and agent tooling handles the scaffolding. They onboard into your existing sprint and tools, so you do not switch stacks to work with them.

It is not right if you need a fully in-house, on-site employee for reasons outside output or cost. It is not right for a one-off project either, where our project-based services fit better. And it is not right if you cannot onboard someone into your sprint and tools within a few weeks.

Book a free call in the booking section at the bottom of this page. You leave the call knowing whether you need one developer or a small team, and which role fits. Placement then runs 2 to 4 weeks from request to start. The call is free and carries no commitment.