Hire AI Developers

Hire AI developers to turn an AI idea into a working feature your users can try within weeks. MindInventory’s engineers have built LLM applications, AI agents, RAG search, and computer vision systems for live products, and they join your team ready to build. You choose each developer after an interview, own everything they create, and pay from $35 an hour or $4,500 a month.
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Hire AI Engineers

Tell us the roles and skills you need. We'll share matched profiles the same day, you interview the ones you like, and approved engineers start the following day.

Trusted by Fast-Growing Startups to Established Enterprises

Vetted profiles

Within 24 hours

Engineers onboarded

Within 24 hours of your approval

First sprint

Within 5 to 7 business days of your brief

Developer retention

95%

70+

AI and ML specialists

300+

Engineering specialists

2700+

Projects delivered

1800+

Clients served

15+

Years in business

ISO 42001: 2023

ISO 42001: 2023

ISO 27001: 2022

ISO 27001: 2022

ISO 9001: 2015

ISO 9001: 2015

SOC2 Type II

SOC2 Type II

HIPAA

HIPAA

GDPR

GDPR

What You Get When You Hire AI Developers from MindInventory

When you hire artificial intelligence developers through MindInventory, you get engineers tested on production AI work, not on API demos. You keep control of who joins and how they work. Your roadmap gains AI capacity in days instead of a hiring cycle that takes months.

Developers Who Have Shipped AI to Production

Every developer has put AI in front of real users, tested its output, and kept its costs in check.

You Choose Who Joins

You interview and approve each engineer. If someone is not working out, we replace them and manage the handover.

Your Tools, Your Process, Your IP

Developers work in your repositories and sprints. You own the code, prompts, evaluation sets, and models.

A Senior AI Architect on Every Project

A senior AI engineer leads design and technical decisions on every engagement, so even a single hire works to a reviewed architecture.

AI Governance From Day One

Our developers document data sources, evaluations, and model choices as they build, so your AI passes review later.

AI Developers and Engineers You Can Hire

When you hire artificial intelligence engineers from MindInventory, you hire for the AI you are building. Our developers specialize by system type, and you can hire one specialist or a full AI team.
LLM and Generative AI Developers icon

LLM and Generative AI Developers

Features on GPT, Claude, Gemini, and Llama models, tested against evaluation sets.
AI Agent Developers icon

AI Agent Developers

Agents that call tools across your systems, with approval gates on every consequential action.
RAG and AI Search Engineers icon

RAG and AI Search Engineers

Answers grounded in your documents, with vector search and source checks.
Computer Vision Engineers icon

Computer Vision Engineers

Detection and classification models for the cloud, the edge, or a phone.
AI Integration Engineers icon

AI Integration Engineers

AI connected to your CRM, ERP, EHR, and internal APIs, with data kept where it lives.
Full-Stack AI Developers icon

Full-Stack AI Developers

The whole feature, front end to model call, ideal for an early product.
Dedicated AI Product Teams icon

Dedicated AI Product Teams

AI engineers, full-stack developers, QA, and a project manager, shaped to your roadmap.

Not Sure Which AI Roles Your Product Needs?

Tell us what you are building and your stack. In a free 30-minute team composition call, MindInventory recommends the roles, seniority, and team size, and you get a written cost breakdown within 24 hours.

Plan my AI team
Not Sure Which AI Roles Your Product Needs?

Which AI Role Should You Hire First?

AI engineers, ML engineers, and data scientists are often listed as the same hire, and that mistake costs months. MindInventory matches the role to what you need built, and the table below tells you when an AI developer is the wrong first hire.

Role
What they build
Hire this role when
Hire another role when
AI engineer
AI features inside your product: LLM features, agents, RAG, vision, integrations
You need AI working in your product this quarter, mostly on existing models
You need a model trained from your own data, or the question is still open
ML engineer
Custom models, training pipelines, deployment, and monitoring
Your use case needs a model trained, retrained, and watched in production
A hosted model already does the job well enough
Data scientist
Analysis, experiments, forecasts, and the case for a model
You need to learn what your data can tell you before building anything
The use case is decided and the data is ready

AI Products Our Developers Have Shipped

MindInventory developers have helped build and modernize AI-powered products across content protection, tax technology, and claims processing. Their experience spans production AI pipelines, document intelligence, NLP, and workflow automation within live business systems.

View all AI case studies

Ceartas: Content Protection on a Platform That Never Stopped

Ceartas protects creators and brands from leaked and faked content across the web. MindInventory's dedicated team modernized the live platform without pausing detection: face, media, and forgery checks, task queues that scan millions of sites, and human review before every takedown. The figures are Ceartas's reported results.

Outcomes:

$6M+in stolen content removed in 10 weeks
600,000+unauthorized images and videos removed
75 millionsites and 2,000+ platforms monitored
Read case study

A US TaxTech Platform: AI Reads Forms, Advisors Approve

A decade-old tax tool could file returns but not model advisory work. A dedicated MindInventory team rebuilt it as a multi-tenant platform where Amazon Textract parses each form, Claude structures it, and an advisor approves every number. The figures are the client's reported results.

Outcomes:

50 - 70%Reduction in manual data entry at intake, client reported
80%Advisory efficiency gain
2xFaster scenario turnaround
Read case study

ClaimClarity: Workers' Compensation Claims, Ready to Assess

Workers' compensation claims arrive as medical narratives, letters, and forms. MindInventory built ClaimClarity's NLP pipeline that turns them into structured, rule-driven claim insights, so adjusters assess claims instead of retyping them. The figures are ClaimClarity's reported results.

Outcomes:

20%faster claims processing
33%lower claim handling costs
25%less manual handling
Read case study

Skip the Hiring Delays. Start Building AI in Week One.

Get vetted AI developer profiles within 24 hours. Choose your developers and get your team ready to build within 5–7 business days of sharing your brief.

Get my feasibility assessment
Skip the Hiring Delays. Start Building AI in Week One.

AI Engineer Skills We Vet Before You Interview

MindInventory evaluates AI developers through four stages: AI fundamentals, practical coding challenges, AI system design, and communication. Fewer than 20% of applicants pass our screening process. We assess the skills needed to build, integrate, secure, and maintain AI solutions in production not just experiment with models.

Skill area
What we test
Why it matters to you
Python and API engineering
Clean, tested services in Python, FastAPI, or Node.js
AI features fail on plumbing more often than on models
LLM integration
Prompt design, structured outputs, function calling, model routing
Answers stay consistent and parseable in your product
Evaluation
Building test sets and scoring output before and after release
You know a change helped before users find out it did not
Retrieval and data handling
Chunking, embeddings, vector search, access control on sources
The model answers from your data, and only the data a user may see
AI security
Prompt injection, data leakage, and the OWASP Top 10 for LLM Applications
Your AI cannot be talked into exposing data or taking unsafe actions
Cost and latency
Caching, batching, model choice, and token budgets
Inference bills and response times stay predictable as usage grows
Production delivery
Docker, CI/CD, logging, and monitoring
The feature keeps working after the engineer who built it moves on

Our Engagement Models to Hire AI Engineers

MindInventory offers four ways to hire AI engineers, depending on your project scope, required expertise, and preferred level of control. Choose individual developers, a dedicated team, flexible hourly support, or end-to-end project delivery.

Model
What you get
Best for
Who leads
Dedicated AI developer
One engineer on your product only, in your stand-ups, with 160 guaranteed hours a month
A skill gap on a long-term product
Your engineering leads
Dedicated AI team
A full team assigned to your product, typically three or more
A long-running AI roadmap
Your product owner, with our project manager
Hourly engagement
Developers billed from a 100-hour pool
Short work, discovery, or trying a developer before scaling
Your engineering leads
Project-based
A defined AI scope delivered end to end
A feature or system due by a date
Our project manager, reporting to you

Weighing One Dedicated Developer Against a Full AI Team?

Share your roadmap and your current team. In a free 30-minute call, MindInventory recommends a model and team shape and sends a written cost breakdown within 24 hours.

Compare my hiring options
Weighing One Dedicated Developer Against a Full AI Team

How to Hire AI Developers in Five Steps

MindInventory helps you hire AI developers in about a week, from defining your project requirements to onboarding a developer ready to contribute. You review relevant experience, validate technical skills, and approve each stage before moving forward.

  1. Step 1

    Define Your AI Project Requirements

    You receive: A confirmed role brief outlining your AI use case, required skills, seniority, technology stack, and project goals.

    Typical time: Day 1

    Moves on when: You approve the role, technical requirements, and developer profile.

  2. Step 2

    Review Vetted AI Developer Profiles

    You receive: Shortlisted profiles matched to your requirements and relevant experience building AI systems.

    Typical time: Within 24 hours

    Moves on when: You select the candidates you want to interview.

  3. Step 3

    Evaluate Technical Skills and Fit

    You receive: Free technical interviews and the option to assess candidates using a task relevant to your project.

    Typical time: 1–3 days

    Moves on when: You approve the developer based on technical ability, problem-solving, and project fit.

  4. Step 4

    Set Up Secure AI Development Access

    You receive: Signed NDAs, defined access permissions, and agreed rules for AI tools, data handling, and development environments.

    Typical time: Within 24 hours of approval

    Moves on when: Access is verified and the developer is ready to begin assigned tasks.

  5. Step 5

    Manage Delivery and Scale Your AI Team

    You receive: Working code through sprint-based delivery, regular progress updates, and monthly engagement reviews.

    Typical time: Ongoing

    Moves on when: Your project priorities or workload call for a change in team capacity, with one week's notice.

How Much Does It Cost to Hire AI Developers?

MindInventory prices AI developers by the hour, the month, or the project. Rates depend on seniority, specialization, and the time-zone overlap you need.

Model
Price
What it includes
Hourly
From $35 per developer hour
A 100-hour block, used as you need it
Monthly, dedicated
From $4,500 per developer per month
160 guaranteed hours, a project manager at no extra cost
Project-based
Proof of concept under $25,000, in 6 to 10 weeks
A fixed scope, team, and delivery date; larger builds quoted after discovery

Know What Your AI Team Will Cost

Tell us the roles and how long you need them. MindInventory sends a line-by-line cost breakdown for your team within 24 hours, with the rate for each role and the engagement terms.

Get my team cost
Know What Your AI Team Will Cost

How We Protect Your Data, Code, and IP

MindInventory’s developers work under ISO 42001 and ISO 27001 controls, with HIPAA and GDPR practices for regulated data. Six commitments apply to every AI hire.
01

NDA before access to any code or data, and a BAA before any patient data on healthcare work.

02

Your environments only. No production data on a personal machine.

03

Named access, revoked the day a developer rolls off.

04

No data sent to a model provider without your approval, with retention and training settings off where providers allow it.

05

AI coding assistants only with your approval.

06

You own everything we build: code, prompts, evaluation sets, fine-tuned weights, and documentation.

AI Models, Frameworks, and Tools Our Developers Use

MindInventory’s AI developers select models, frameworks, and infrastructure based on your use case, existing technology stack, security requirements, and deployment needs. From integrating LLMs and building AI agents to training machine learning models and deploying computer vision systems, our teams work across the AI development lifecycle.

Foundation, speech, and image models
GPT Claude Gemini Llama Mistral DeepSeek Qwen Whisper Stable Diffusion
LLM and agent frameworks
LangChain LangGraph LlamaIndex Hugging Face Transformers MCP
Machine learning
PyTorch TensorFlow Keras scikit-learn XGBoost
NLP and vision
spaCy NLTK OpenCV YOLO
Vector stores and data
Pinecone pgvector Elasticsearch Databricks Snowflake Spark
Deployment and monitoring
Docker Kubernetes DVC Grafana Fiddler

Build Your AI Team With the Right Expertise

Get a team recommendation tailored to your AI roadmap. In a free 30-minute consultation, MindInventory helps you identify the roles, skills, and team structure your project needs, with a detailed cost breakdown within 24 hours.

Plan my AI team Get my feasibility assessment
AI robot standing on a circuit board, surrounded by report panels

FAQs

Explore answers to common questions about Hire AI Developers

AI developers at MindInventory start from $35 an hour, or from $4,500 a month for a dedicated developer with 160 guaranteed hours. The final price depends on seniority, specialization, team size, and engagement model. Share the roles and duration you need, and MindInventory sends a line-by-line cost breakdown within 24 hours.

Most AI developers start within 5 to 7 business days of your requirements. You receive 2 to 4 vetted profiles within 48 hours, interview them on your schedule, and approved developers are onboarded within 24 hours. A well-defined brief moves fastest, so MindInventory confirms roles, seniority, and stack with you on day one.

Yes. MindInventory developers build AI agents that call tools and act across your systems with LangChain, LangGraph, and MCP, with approval gates on consequential actions. They also build LLM applications, RAG pipelines, and fine-tuned models, each tested against an evaluation set before release. A US TaxTech platform reading tax forms with Claude, with an advisor approving every number, is one example in production.

Our developers cover custom AI software, generative AI, agentic AI, fine-tuning and RAG, computer vision, NLP, business intelligence and analytics, and AI process automation. They also run AI consulting and audits of existing systems. You can hire a specialist in one of these areas or a team that covers several.

MindInventory developers have built AI for healthcare, fintech, retail and ecommerce, real estate and construction, education, and manufacturing. Clients are based across the US, the UK, Europe, and the Middle East. Domain experience matters most in regulated work, so we match developers who have shipped in your industry where possible.

MindInventory developers work standard hours based in India (IST), with about three hours of flexibility for calls and reviews. Dedicated developers and teams can work overlapping schedules with your team. Tell us your time zone in the brief, and the overlap is agreed before anyone starts.

Yes. MindInventory works under ISO 27001, ISO 9001, and ISO 42001 certified processes, with HIPAA and GDPR practices for regulated data. We sign a BAA before healthcare work and an NDA before project discussions. Developers access only the environments you approve, with named credentials revoked when they roll off.

You do. Everything MindInventory developers create during the engagement belongs to you: source code, prompts, evaluation sets, trained or fine-tuned models, and documentation. Ownership is written into the contract, and every file lives in your repositories from the first commit, so nothing needs handing over at the end.

MindInventory offers a dedicated AI developer with 160 guaranteed hours a month, a dedicated AI team, hourly engagement from a 100-hour pool, and project-based delivery. Each model includes reporting and a project manager. Dedicated models suit long-running roadmaps; hourly suits short work or trying a developer before you scale.

Yes, and the evaluation is free. MindInventory sends a shortlist of 2 to 4 vetted developers, and you run your own technical interviews or set a task. Only the developers you approve join your project, so you never pay for someone you have not chosen.

MindInventory’s developer retention rate is 95%. High retention means the developer who learns your product, data, and codebase stays on it, so you avoid repeated onboarding and lost context. If a developer does leave, we plan the transition with documented handover before they roll off.

Every AI developer passes four stages before you see a profile: AI fundamentals, a coding challenge, AI system design, and a communication assessment. Fewer than 20% of applicants pass. The design stage tests evaluation, AI security, and cost control, which are the skills that keep AI features working after launch.

In hiring, the two titles mean almost the same thing: a software engineer who builds AI features into a product. “AI engineer” often signals more system design, such as agents, retrieval, and evaluation, while “AI developer” can lean toward feature work. MindInventory hires against the system you are building, not the title, and states the seniority on every profile.
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AI INSIGHTS FROM OUR ENGINEERING TEAM
Written by the people doing the work, for the questions that come up before a project starts.

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