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Stop waiting 6 months to hire AI talent. AdmireTech gives you pre-vetted senior AI and ML engineers who embed in your team, ship production code, and scale with your project — in 48 hours, not 6 months.
London, UK
Pune, India
Lagos, Nigeria
The Problem
The demand for AI engineers has outstripped supply by 10x. Here's what happens when you try to build an AI team the traditional way.
AI and ML engineers are the hardest roles to fill. The average time to hire is 6-9 months — and the best candidates get snatched up in weeks. By the time you close a hire, your AI roadmap is already behind.
You need 3 ML engineers this quarter and 1 next quarter. But full-time hires come with 12-month contracts, benefits, and notice periods. Your AI team size can't flex with your actual project demands.
You tried Upwork and Toptal. The first engineer disappeared mid-project. The second couldn't handle production-grade systems. The third delivered code nobody on your team could maintain. You're done gambling.
Your developers are strong — but LLM fine-tuning, vector databases, MLOps pipelines, and computer vision aren't skills you pick up from a weekend tutorial. You need depth that only comes from years of production AI work.
The Solution
AdmireTech maintains a curated network of senior AI and ML engineers who are pre-vetted, production-tested, and ready to embed in your team. You get the talent of a full-time hire with the flexibility of a contractor — and none of the overhead.
Who You Get
Every engineer in our network has 5+ years of experience and has shipped AI systems to production — not just trained models in notebooks.
Fine-tuning, RAG architectures, prompt engineering, and production LLM systems. Experienced with OpenAI, Anthropic, LLaMA, LangChain, and vector databases like Pinecone and Weaviate.
Object detection, image classification, OCR, video analysis, and real-time visual processing. Production experience with PyTorch, TensorFlow, YOLO, and custom model training.
Feature engineering, model training, A/B testing, and ML pipeline architecture. From data ingestion to model serving — building the infrastructure that makes AI work at scale.
Model deployment, monitoring, versioning, and scaling. CI/CD for ML, containerised model serving, GPU cluster management, and cost optimisation for AI workloads.
Chatbots, voice assistants, and multi-modal AI interfaces. Specialists in dialogue systems, intent recognition, multi-turn conversations, and human-AI interaction design.
End-to-end product engineers who build AI-native applications. From React frontends to Python ML backends — developers who ship complete, production-ready AI features, not just notebooks.
Flexible Engagement
A senior AI engineer joins your team part-time — attending standups, using your repos, and shipping alongside your developers. Perfect for ongoing AI feature development without a full-time hire.
Continuous AI feature work
A dedicated AI engineer works full-time as part of your team for a defined period. Same commitment as a hire, without the recruitment timeline, benefits overhead, or notice period.
Major AI initiatives
An AI engineer (or team) delivers a defined scope — model training, pipeline build, PoC, or integration. Clear deliverables, fixed timeline, and transparent pricing agreed upfront.
Specific AI deliverables
How It Works
Tell us what you need — skills, domain experience, engagement model, and timeline. We match you with pre-vetted senior engineers from our talent network within 48 hours.
You interview your matched engineer(s) — technical deep-dive, culture fit, and project discussion. If it's not a perfect match, we send alternatives. No pressure, no fees until you're satisfied.
Your engineer gets access to repos, joins standups, and starts contributing from week one. We handle contracts, payments, and admin. You get productive AI talent with zero overhead.
Ongoing delivery management, performance tracking, and account support. Need to scale up or down? Change engagement model? We flex with you — no lock-in contracts.
Why Fractional
Client Results
“We needed an LLM engineer who understood RAG architecture and could integrate with our existing Python backend. AdmireTech matched us with a senior engineer in 3 days. He was shipping code by the end of week one. It would have taken us 6 months to hire that skillset.”
VP of Engineering
Cloud Solutions Provider
“We scaled from 1 fractional AI developer to a team of 3 as our project scope grew — then back to 1 for maintenance. That flexibility is impossible with full-time hires. AdmireTech's engineers felt like part of our team from day one.”
CTO
National Microfinance Bank
FAQ
Still have questions? Book a free call and we'll match you with the right AI engineer for your project.
Typically within 48 hours. We maintain a pre-vetted network of senior AI and ML engineers across LLMs, computer vision, NLP, MLOps, and full-stack AI development. For niche specialisations, matching may take 3-5 business days.
All of our fractional engineers are senior-level (5+ years experience) or above. We don't place junior developers. Every engineer has production AI experience — not just Kaggle competitions or academic research. They've built and deployed AI systems that serve real users.
Three differences: (1) We specialise in AI and ML — our vetting process tests production AI skills, not generic coding. (2) We provide ongoing account management, not just a marketplace transaction. (3) Our engineers are used to embedding in teams — they understand standups, code reviews, and production deployment, not just solo freelancing.
We replace them within days — no questions asked, no additional fees for the replacement search. It rarely happens because our matching process is thorough, but we never lock you in with an engineer who isn't delivering. You have zero risk.
Yes. Our talent network spans London, Pune, and Lagos — covering GMT, GMT+5:30, and GMT+1. For US-timezone clients, we have engineers who overlap with EST and PST working hours. We always match timezone compatibility as part of the brief.
Rates vary by specialisation and engagement model. Senior AI engineers typically range from $60-$120/hour depending on skills and domain expertise. Part-time embedded (20hrs/week) starts from around $5,000/month. All pricing is transparent and agreed before engagement begins.
Book a free call. Tell us what you need. We'll match you with a pre-vetted senior AI engineer in 48 hours — no recruitment fees, no long-term lock-in.