AI is moving fast and businesses need engineers who can build production-ready AI systems — not just prototypes. Our dedicated AI engineers handle custom agents, LLM integrations, RAG pipelines, and ML models so you ship real AI products, not demos.
AI looks easy in demos. In reality, building production-grade AI systems requires deep expertise across models, infrastructure, and engineering. Here is what goes wrong.
Building a ChatGPT demo is easy. Building a production-grade AI system is hard. It needs robust error handling, scaling for real traffic, monitoring for hallucinations, cost optimization, and reliable performance under load. Most AI prototypes never ship.
Senior AI engineers cost $200-400K per year and take 6+ months to hire. The demand far exceeds supply. Meanwhile, your competitors are shipping AI features and you are stuck posting job listings. Every month without an AI engineer is lost competitive advantage.
New models, frameworks, and techniques drop monthly. GPT-4o, Claude 3.5, Llama 3, new RAG patterns, agent architectures — generalist developers cannot keep up. You need specialists who live and breathe AI and stay current with every breakthrough.
Your dedicated AI engineer owns every aspect of your AI development. They are an extension of your team with deep expertise across the modern AI stack.
Your engineer integrates large language models into your products and builds custom AI agents that take action.
Build retrieval-augmented generation systems that give your AI accurate, up-to-date knowledge from your own data.
Custom machine learning models trained on your data, deployed and monitored in production environments.
Intelligent automation systems that handle complex tasks, make decisions, and scale your operations.
Real results from companies that hired a dedicated AI engineer from imisofts.
A legal tech company hired an AI engineer who built a custom document review system using GPT-4 and RAG. The system analyzes contracts, extracts key clauses, and flags risks — saving their legal team 200 hours per month with 95% accuracy.
An e-commerce brand hired an AI engineer who built a custom recommendation engine using collaborative filtering and LLM-powered product descriptions. Average order value increased by 28% and product page conversions tripled within 60 days.
A healthcare company needed to make 50,000+ medical research papers searchable and queryable. Their AI engineer built a custom RAG system with semantic search, enabling researchers to find answers 10x faster than manual review.
A simple 4-step process to get a dedicated AI engineer building intelligent systems for your business.
We learn about your business, AI goals, existing tech stack, data assets, and target use cases. This helps us match you with the right AI engineer for your specific requirements.
30 minWe assign a dedicated AI engineer with experience in your domain. They review your codebase, data, and infrastructure, then prepare an architecture plan before the first sprint.
48 hrsYour engineer designs the AI architecture, sets up ML infrastructure, integrates models, builds pipelines, and delivers working prototypes. Everything moves fast with weekly demos.
Week 1-4Systems go to production. Your engineer handles deployment, monitoring, optimization, and continuous improvement. They iterate based on real-world performance data.
OngoingEverything you need to know about hiring an AI engineer from imisofts.
Our AI engineers build production-ready AI systems including custom AI agents, LLM-powered applications, RAG pipelines with vector databases, ML model training and deployment, intelligent document processing, AI-powered analytics, chatbots, recommendation engines, and automated decision systems. They handle the full stack from prototyping to production deployment.
Our engineers are proficient across the modern AI stack: OpenAI GPT-4, Anthropic Claude, Meta Llama, LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, Pinecone, Weaviate, ChromaDB for vector databases, FastAPI for serving, and cloud ML platforms like AWS SageMaker, Google Vertex AI, and Azure ML. They adapt to your existing stack or recommend the best fit.
Your dedicated AI engineer is assigned within 48 hours of signing. They begin with architecture review and system design immediately. First working prototypes are typically delivered within the first week. Production-ready systems are deployed within 2 to 4 weeks depending on complexity.
Yes. Our AI engineers are model-agnostic and work across all major providers including OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Meta (Llama), Mistral, Cohere, and other open-source models. They help you choose the right model for your use case based on performance, cost, latency, and privacy requirements.
A dedicated AI engineer starts at $3,997 per month. This includes full-time AI development, architecture design, model integration, testing, and deployment. The AI Engineering Team package at $6,997 per month adds a senior AI architect for complex multi-model systems, enterprise-grade solutions, and advanced ML pipelines. No long-term contracts are required.
Stop waiting for AI talent to come to you. Get a dedicated AI engineer who has built 100+ production systems and knows how to ship real AI products fast.
Tell us about your business and AI goals. We will match you with the right AI engineer and have them operational within 48 hours. No cost for the initial consultation.
Hire an AI Engineer →Engineer assigned within 48 hours. No long-term contract required.