Hire AI Developers to Accelerate Startup Growth
Why startups hire AI developers with DOIT
AI developers for hire: find your specialization
LLM Integration Developer
Add AI generation, conversation, and reasoning features to your product using OpenAI, Anthropic, Gemini, and Azure OpenAI.
DOIT matches engineers with direct experience integrating LLM capabilities into existing codebases and maintaining those integrations in production.
Hire AI agent developers
Design and deploy autonomous AI systems that handle multi-step tasks independently, covering agent architecture, tool orchestration, context persistence across workflow steps, and error recovery.
DOIT’s network includes engineers with production experience in multi-agent coordination and agentic workflow development.
Full-Stack AI Developer
Build complete AI-native products from UI to inference layer using React, Next.js, FastAPI, and Python.
One AI engineer who covers the frontend, backend, API layer, and AI integrations together.
RAG / AI Search Developer
Connect your LLM to internal documents, databases, APIs, and knowledge bases so it answers questions from your own data.
RAG specialists work with Pinecone, Weaviate, and Qdrant for vector search, embedding pipelines, reranking, and context-accurate retrieval.
AI Automation Developer
Automate business workflows using n8n, Make, Zapier, and custom API integrations.
Get specialists for document processing, data extraction, trigger-based automation, and LLM-driven decisions that connect to your existing tools.
ML Engineer / Fine-Tuning Specialist
Train and fine-tune models for classification, prediction, and decision automation using PyTorch and Hugging Face.
Hire AI engineers to build evaluation and monitoring pipelines for models running in production.
Hire generative AI developers
Design applications that produce original content from user prompts or automated triggers, handling model selection, output formatting, safety layers, and the feedback mechanisms that improve generation quality over time.
DOIT’s network covers text, image, audio, and multimodal generation specialists, all with production experience building generative AI features in live products.
AI Infrastructure / MLOps Engineer
Deploy, monitor, and scale AI models in production on AWS, GCP, Azure, and on-premises infrastructure.
Hire AI developers who set up model serving, CI/CD for ML workflows, drift detection, and performance monitoring so models stay reliable over time.
What can AI developers from DOIT work on?
Add AI to an existing product
Build AI agents
Implement RAG systems
Create AI automations
Develop gen AI solutions
Integrate speech and vision
Build AI-driven data
Add AI to an existing product
AI developer engagements at the startup stage often involve adding AI features to an existing codebase. DOIT’s AI developers integrate LLM APIs into existing codebases, build the prompt architecture and reliability layer those features require, implement observability tooling, and ship features that remain stable as model behavior changes. If you need to hire AI app developers for integration work on a live product, DOIT matches engineers with direct experience integrating AI into live codebases.
Build AI agents
An agentic workflow executes multi-step tasks on behalf of the user without waiting for instructions at each stage. DOIT’s AI agent developers build the underlying architecture: tool selection and orchestration, context persistence across a full task sequence, fallback handling for step failures, and the recovery logic that keeps the agent on track when a step fails. These systems behave differently in production than in development, and the engineers DOIT places have shipped them in live environments.
Implement RAG systems
Retrieval-augmented generation gives your AI application accurate, grounded answers by pulling relevant content from your own documents or data before generating a response. DOIT’s RAG developers build the full pipeline: document ingestion, chunking strategy, embedding generation, vector storage, and the retrieval and reranking logic that determines what context the model actually receives.
Create AI automations
AI automation connects your existing tools and data sources to AI models, replacing manual processes with pipelines that run without human intervention. DOIT’s automation developers work with n8n, Make, Zapier, and RPA platforms to design trigger-based workflows that handle data transformation, AI-powered decision logic, conditional routing, and the API connections that make an automation maintainable over time.
Develop Gen AI solutions
Build sophisticated content generation systems for text, voice, code, and creative outputs. Hire generative AI developers to implement advanced prompt engineering, fine-tune models on proprietary datasets, and create evaluation frameworks that ensure consistent quality across automated content creation and personalized messaging.
Integrate speech and vision AI capabilities
Speech and vision AI adds perception capabilities to your product. DOIT’s developers integrate speech-to-text, text-to-speech, computer vision, and object detection into your application, handling the latency requirements and accuracy trade-offs that production use demands at real user volumes.
Build AI-driven data and analytics tools
An AI developer with data engineering experience builds the pipeline that connects raw data to actionable predictions and anomaly detection. DOIT’s AI/ML engineers handle data preparation, model training and fine-tuning, prediction API deployment, and the monitoring that keeps output accurate as data patterns shift over time.
Hire AI developers with advanced tech expertise
How to hire AI developers with DOIT?
Share your requirements
Receive matched CVs
Interview candidates
Onboard your AI developer
Share your requirements
Receive matched CVs
Interview candidates
Onboard your AI developer
How does DOIT vet the top 1.5% of AI developers?
Background review
Pass rate: ~14.3%.
Technical vetting
Pass rate: ~5%.
Fit confirmation
Pass rate: ~1.5%.
Let's drive innovation in your company!
Hire dedicated AI developers who can bring your AI-powered product vision to life.
Talk to hiring experts
Meet 386+ AI developers for hire
in GPT, Claude, Perplexity, Copilot, Grok, Gemini, and Llama
AI talent across the US, Europe, and Latin America
pre-vetted AI developers for hire
to start without a long ramp-up
Access a carefully curated talent pool of 386+ AI specialists experienced in LLM integration, generative AI, chatbot development, AI infrastructure deployment, and more. Hire artificial intelligence developers aligned with your technical needs and time zones.
Agnieszka
$48/hour
Warsaw, Poland
Part-time (25 hours/week)
Tech stack: Python, TensorFlow, PyTorch, Hugging Face, OpenAI API, LlamaIndex, Weaviate, SQL, Docker, AWS Lambda, Terraform
Applied AI engineer with 3 years of commercial experience. Deep understanding of transformer architectures and fine-tuning techniques. Built autonomous AI agents using LLM orchestration frameworks and deployed scalable inference APIs. Skilled in preprocessing large datasets for model training and implementing monitoring systems for AI workloads.
Part-time (25 hours/week)
Vasyl
$55/hour
Kyiv, Ukraine
Full-time
Tech stack: OpenAI API, Claude API, LangChain, LangGraph, Python, TypeScript, Pinecone, Qdrant, PostgreSQL, MongoDB, FastAPI, Next.js, AWS, Docker, Redis
An AI integration developer with 4 years of experience. Specializes in connecting LLM APIs into existing applications and managing conversation state across multi-turn interactions. Built RAG pipelines using vector databases for document retrieval and implemented prompt chaining workflows.
Previously focused on backend development before transitioning into AI system integration. Expert in designing fallback strategies and implementing proper error handling for production AI systems.
Full-time
Franco
$55/hour
Buenos Aires, Argentina
Part-time (20 hrs/week)
Tech stack: LangChain, LangGraph, Claude API, GPT, Python, JavaScript, Qdrant, Supabase, GitHub Actions, Vercel, AWS Bedrock, pytest
Specialist in autonomous AI agents with 4 years of experience. Builds intelligent workflows that combine LLM reasoning with external tool integration through function calling. Creates agent systems for task automation, from customer support to data processing pipelines. Developed AI agents that reduced manual processing time by automating complex multi-step procedures.
Part-time (20 hrs/week)
Amy
$85/hour
Denver, CO, United States
Full-time
Tech stack: Python, JavaScript, OpenAI API, LangChain, React, Node.js, PostgreSQL, Docker, AWS, Git, Hugging Face, Kubernetes, Terraform
Infrastructure-focused AI developer with 4 years of commercial experience. Strong background in deploying large language models using cloud AI services. Can build containerized AI applications and establish CI/CD pipelines for machine learning workflows. Experience with serverless AI architectures and microservices design for AI applications.
Full-time
Ioana
$58/hour
Bucharest, Romania
Full-time
Tech stack: React, Next.js, TypeScript, OpenAI API, Anthropic API, Hugging Face, TailwindCSS, Vercel, Supabase, WebSockets, PostgreSQL, LlamaIndex, CircleCI
Full-stack developer with 3 years of experience specializing in AI-powered web applications. Combines frontend development skills with AI integration expertise. Experience implementing real-time AI responses in web interfaces and managing session data for conversational AI applications.
Built multiple production applications featuring streaming LLM responses, voice-to-text interfaces, and AI-powered search. Familiar with smart batching and caching strategies.
Full-time
Rafael
$50/hour
Mexico City, Mexico
Full-time
Tech stack: Python, LlamaIndex, OpenAI API, Mistral, MongoDB, Docker, Kubernetes, Apache Kafka, Terraform
AI developer with 5 years of experience implementing enterprise AI solutions. Focuses on document processing, intelligent search, and workflow automation using LLMs. Builds data pipelines that feed AI systems with properly formatted context.
Established AI integration patterns for use across multiple product teams. Can work with sensitive data within AI workflows and maintain security standards.
Full-time
Georgi
$54/hour
Sofia, Bulgaria
Part-time (25 hrs/week)
Tech stack: GPT, Claude, Gemini, Python, FastAPI, LangChain, Pinecone, PostgreSQL, AWS Bedrock, pytest
Generative AI developer with 4 years building AI-driven applications focused on content generation and data analysis. Expert in retrieval-augmented generation pipelines. Implements sophisticated prompt chains for complex reasoning. Designs AI systems for automated report generation and personalized content creation.
Part-time (25 hrs/week)
Hire dedicated AI developers: engagement models
Teams building AI products access DOIT's full network through three engagement models, each giving you control over scope, team composition, and how much of the process DOIT manages.
Developers are available full-time at 40 hrs/week or part-time at 20 hrs/week. Staff augmentation is the most common model for startups and growing product teams that want dedicated AI developers with flexibility built in.
What clients say about DOIT Software
Gil Dror
CTO
Human Care Systems
Dean Dzrurilla
Product Manager
Visible Impact
Marlon Gray
Owner & Founder
Empower U.
FAQs about AI developers
How much does it cost to hire an AI developer?
With DOIT, you can expect to hire AI developers at an average of $45-$75 per hour with $0 recruitment costs. Please contact the team for specific rate information tailored to your technical requirements.
What skills should I look for when I hire AI developers?
What engagement models does DOIT offer for AI developers?
Can I hire an AI developer for a short-term or part-time engagement?
Where are DOIT's AI developers located?
How fast can I hire AI developers with DOIT?
What kind of AI developers does DOIT provide?
How does DOIT vet AI developers?
How much does it cost to hire an AI developer?
With DOIT, you can expect to hire AI developers at an average of $45-$75 per hour with $0 recruitment costs. Please contact the team for specific rate information tailored to your technical requirements.
Where are DOIT's AI developers located?
What skills should I look for when I hire AI developers?
How fast can I hire AI developers with DOIT?
What engagement models does DOIT offer for AI developers?
What kind of AI developers does DOIT provide?
Can I hire an AI developer for a short-term or part-time engagement?
How does DOIT vet AI developers?
Share your requirements and
get the first CVs in a week.