Hire AI Developers and Engineers for Your Team
Hire AI developers from NeuralChainAI: LLM, machine learning, MLOps and data engineers who join your team. Developers work in your repos, standups and tools as dedicated team members or as a small project team, during North American business hours, with senior NeuralChainAI engineers behind them for architecture and code review.
AI Developers and Engineers You Can Hire
Six roles we place on client teams, each backed by senior engineers for design and code review.
LLM and generative AI engineers
Build retrieval pipelines, prompt and tool-calling logic, and evaluation suites on OpenAI, Anthropic or open-weight models.
AI agent developers
Design and ship agentic workflows with scoped tool permissions, approval checkpoints and step logging.
Machine learning engineers
Train, evaluate and deploy forecasting, classification and ranking models on your data.
MLOps and inference engineers
Set up model serving with vLLM or Ollama, CI for models, monitoring and GPU capacity planning.
Data engineers for AI
Build the pipelines, document ingestion and vector stores that AI features depend on.
Computer vision engineers
Build detection, inspection and OCR models and the labeling workflows behind them.
Ready to add AI developers to your team?
Book a free 30-minute strategy session. Tell us the roles, the stack and the start date, and we will come back with matched developer profiles and an engagement plan.
Why Teams Hire Dedicated AI Developers
AI skills command a premium. PwC's 2025 Global AI Jobs Barometer put the average wage premium for jobs requiring AI skills at 56%, and the US Bureau of Labor Statistics lists a median wage of $135,980 for software developers in May 2025, with employment projected to grow 10% from 2025 to 2035. Companies hire dedicated AI developers to add capacity during their own working hours while they plan permanent hires.
Dedicated AI developers who work as part of your team.
Developers join your standups, repos and ticketing, follow your coding standards and report to your tech lead. Senior NeuralChainAI engineers review architecture and code, so a growing team keeps one quality bar.
How Hiring AI Developers Works With Us
Six steps from the first scoping call to a developer shipping on your roadmap.
Role scoping
We start from the work: the AI features on your roadmap, your stack, and the skills each role needs, from LLM integration to model serving.
Matched profiles and technical interviews
We share profiles of developers who fit, and your team interviews them on a technical exercise drawn from your own codebase or problem.
Onboarding into your tools
Developers get access to your repos, cloud accounts and ticketing under your security policies, and join your standups and planning sessions.
Senior review on AI work
A senior NeuralChainAI engineer reviews architecture and pull requests on AI-specific work, such as retrieval quality, evaluation and model serving.
Scale with the roadmap
Add developers as the roadmap grows, or move from a dedicated developer to a project team when a feature calls for one.
Knowledge transfer
Documentation, runbooks and pairing sessions leave the capability with your in-house team.
Ways to Hire AI Developers
Some teams need one strong LLM engineer; others need a small team to ship an AI feature end to end. We set up the engagement around the work, and every developer works under your tech lead with our senior engineers available for review.
For a single senior engineer who owns a deployment inside your environment, see our forward deployed engineers. For a consulting-led project delivered by our own team, see nearshore AI consulting.
NeuralChainAI places AI developers and engineers on client teams, backed by senior engineers for review, and leaves the capability with your in-house team.
Hire AI Agent Developers Who Build on Your Stack
An AI agent engineer builds software in which a model plans each step of a task and calls your tools and APIs, with a person approving decisions at the checkpoints you set. AI agent developers from NeuralChainAI join your team and ship agents in your repos under your tech lead.
Tool calling and integrations
Connect agents to your APIs, databases and SaaS apps through function calling and MCP servers, with a scoped credential for each tool.
Agent frameworks
Build on LangGraph, CrewAI, the OpenAI Agents SDK or the Microsoft Agent Framework, chosen to fit your language and stack.
Checkpoints and step logs
Hold writes, payments and outgoing messages for a person's approval. Log every step and tool call so your team can review each run.
Evaluation and monitoring
Build test sets from real cases before launch, then trace each run and track cost per workflow once the agent is live.
An AI agent developer on your team works like any other hire, in your standups and code reviews, with a senior NeuralChainAI engineer reviewing agent design and pull requests. For an agent build scoped and delivered by our own team, see our agentic AI development services.
Taking an AI-Built App to Production
Lovable, Base44, Replit and Cursor let a small team build a working app with an AI model writing the code. Our developers run the security review and production hardening that prepare it for real users and data.
Vibe coding security starts with reading the code the AI model wrote. A senior engineer reviews the repository, maps where data flows, and fixes each finding below in the codebase you already own.
| Check | What our developers review and fix |
|---|---|
| Secrets and keys | API keys move out of front-end code into your cloud's secrets store, and exposed keys are rotated |
| Authentication and row-level access | Sign-in and role checks run on the server, and row-level rules let each user read and change only their own records |
| Input validation | Every form, API route and prompt sent to an AI model is validated on the server |
| Dependencies and licences | Packages are scanned for known vulnerabilities, and each licence is checked against how you sell the app |
| Logging | Errors, sign-ins and admin actions are logged, with secrets and personal data kept out of log lines |
| Tests | Automated tests cover sign-in, permissions and the main user flows, and run on every change |
| Deployment to your cloud | The app moves to your own AWS, Azure or Google Cloud account with CI/CD, backups and monitoring |
A Lovable security review follows the same checks, as does an app from Base44, Replit or Cursor. If you were looking for a Lovable developer or a Lovable agency to finish an app, hand over the project as it stands, and our developers return each finding as a code fix in your repository. NeuralChainAI is an independent engineering team and works on apps from any of these tools. Book an AI strategy session to scope the review.
Related AI Engineering Services
Forward Deployed Engineers
A senior engineer who embeds in your environment and owns one deployment end to end.
Nearshore AI Consulting
Consulting-led AI projects delivered by senior teams in your time zone.
Fractional Chief AI Officer
Executive AI leadership on demand for strategy, governance and vendor choices.
Agentic AI Development
Agent design, build and operation, with checkpoints and step logs.
Frequently Asked Questions on Hiring AI Developers
Start from the work on your roadmap and define the AI features, the stack and the skills they need, such as retrieval, agent design, model training or model serving. Then test candidates on a problem drawn from your own codebase. With us, you interview matched developers on that exercise, and they join your team under your tech lead, with senior engineers reviewing AI-specific work.
In the US, the Bureau of Labor Statistics lists a median wage of $135,980 for software developers in May 2025, and PwC found jobs requiring AI skills carried an average wage premium of 56% in 2025. A developer from our team is priced as a monthly engagement per developer or as a project. A strategy session gives a quote for your roles and start date.
Our developers work North American business hours, so their working day overlaps with your team's. They join your standups, planning sessions and code reviews like any other team member.
A hired developer joins your team and works on your roadmap under your tech lead. A forward deployed engineer is a senior engineer who embeds in your environment and owns one deployment end to end. Nearshore AI consulting is a project we scope and deliver with our own team. Many clients start with one model and move to another as the work changes.
Ready to Hire AI Developers for Your Team?
Start with a free 30-minute strategy session. Tell us the roles, your stack and when you need people, and we will come back with an engagement plan and matched profiles.