Hire a Dedicated AI Engineer to Build Intelligent Systems
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.
Why Most AI Projects Fail
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.
Prototypes Don't Reach Production
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.
AI Talent Is Scarce and Expensive
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.
AI Moves Too Fast for Generalists
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.
What Your AI Engineer Handles
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.
LLM Integration & Custom Agents
Your engineer integrates large language models into your products and builds custom AI agents that take action.
- ChatGPT, Claude, Llama integration
- Custom AI agents with tool use
- Function calling and orchestration
- Prompt engineering and optimization
RAG Systems & Knowledge Bases
Build retrieval-augmented generation systems that give your AI accurate, up-to-date knowledge from your own data.
- Retrieval-augmented generation pipelines
- Vector database setup (Pinecone, Weaviate)
- Document processing and chunking
- Semantic search implementation
ML Pipelines & Models
Custom machine learning models trained on your data, deployed and monitored in production environments.
- Custom model training and fine-tuning
- Feature engineering and data pipelines
- Model deployment and serving
- Performance monitoring and retraining
AI Automation & Workflows
Intelligent automation systems that handle complex tasks, make decisions, and scale your operations.
- Intelligent document processing
- AI-powered analytics and insights
- Automated decision systems
- Workflow orchestration with AI
What Our AI Engineers Deliver
Real results from companies that hired a dedicated AI engineer from imisofts.
AI Document Review System Saving 200hrs/Month
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.
AI Product Recommendation Engine Boosting AOV by 28%
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.
Custom RAG System for Medical Knowledge Base
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.
Your AI Engineer Is Operational in 48 Hours
A simple 4-step process to get a dedicated AI engineer building intelligent systems for your business.
Discovery
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 minEngineer Matching
We 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 hrsArchitecture & Build
Your engineer designs the AI architecture, sets up ML infrastructure, integrates models, builds pipelines, and delivers working prototypes. Everything moves fast with weekly demos.
Week 1-4Deploy & Iterate
Systems go to production. Your engineer handles deployment, monitoring, optimization, and continuous improvement. They iterate based on real-world performance data.
OngoingFrequently Asked Questions
Everything you need to know about hiring an AI engineer from imisofts.
What can an AI engineer build? +
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.
What AI/ML frameworks do your engineers use? +
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.
How quickly can they start? +
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.
Do you work with OpenAI, Anthropic, and open-source models? +
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.
What is the investment? +
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.
Ready to Hire an AI Engineer?
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.
- AI engineer assigned within 48 hours
- Full-stack AI expertise: LLMs, RAG, ML, agents
- Production-ready systems, not just prototypes
- Works with GPT-4, Claude, Llama, and open-source models
- No long-term contracts required
Schedule a Discovery Call
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.