Hire Senior
AI & ML Developers
Looking to hire AI developers or machine learning engineers without agency overhead? You've found the team. Whether you need to hire ML engineers for model development, hire AI developers for LLM integration, or hire machine learning engineers for production MLOps — our roster covers the full AI stack. 45+ combined years across LLMs, computer vision, NLP, reinforcement learning, and agentic systems. Shipped across 8 domains.
- LLMs, computer vision, NLP, RL & agentic AI — research to production
- European base — US & AU timezone overlap
- First working deliverable in 1 week — no PoC theatre, no ramp-up delay
Let's Solve
Your Bottleneck
Real track record in FinTech, Healthcare, E-commerce, Supply Chain and SaaS AI. Book a 15-min intro call — tell us what you're building.
Book a Discovery CallTechnical Stack
Domain Experience
Projects
Why Our Team
| Typical offshore / agency | DMexec | |
|---|---|---|
| Research depth | Off-the-shelf API wrappers. No custom model training or fine-tuning capability. | ✓ Published RL research. Custom training, fine-tuning and novel architecture from scratch. |
| LLM expertise | ChatGPT wrapper integrations. Hallucination-prone, no production hardening. | ✓ Production LLM pipelines with 95%+ accuracy. Custom prompt engineering, RAG, agents — not just OpenAI API calls. |
| Computer Vision | Not available in most ML teams. Requires a specialist hire or separate agency. | ✓ OpenCV, YOLOv5, real-time video processing in production — foot traffic, facial recognition, PPE monitoring already shipped. |
| MLOps | PoC models that never reach production. No pipeline from experiment to deployment. | ✓ Full pipeline from research to Kubernetes-deployed production — Docker, AWS EKS, CI/CD, monitoring baked in. |
| Business impact | Accuracy benchmarks. No clear link between model performance and revenue. | ✓ +$2M ad revenue uplift. –23% supply chain waste reduction. 87% churn prediction accuracy. Business outcomes, not just benchmarks. |
| Hiring cost | Recruiter fees 15–25% of salary plus agency markup 40–80%. Weeks before first output. | ✓ $0 recruiting cost. Direct engagement — no agency markup, no recruiter cut. |
| Time to deliver | 4–6 week PoC before seeing anything. Data gathering, "discovery" and alignment sprints delay output. | ✓ Working prototype or first model in 1 week. No PoC theatre — we ship fast, then iterate. |
FAQ
We cover the full AI development lifecycle: custom ML model development, LLM integration and fine-tuning, computer vision systems, NLP pipelines, predictive analytics, MLOps infrastructure, and agentic AI systems. Whether you need to hire AI developers for a greenfield build or hire machine learning engineers to augment your existing team — our roster handles both.
Yes. We build production-grade LLM pipelines — RAG architectures, custom prompt engineering, agentic workflows, fine-tuned models, and multi-model orchestration. Our team includes an LLM specialist who shipped a production scraping platform running at 95%+ accuracy. If you need to hire LLM developers who go beyond API calls, this is the right team.
Yes — deployed and running in production. We've built real-time people counting and facial recognition systems for public transport, YOLOv5 PPE detection for safety monitoring, movement recognition for healthcare applications, and custom object detection pipelines for industry automation. OpenCV, YOLO, CNN/RNN architectures — all in live production environments.
Fully. Our team spans model research and architecture, data pipeline engineering, backend integration via FastAPI and Django, cloud deployment on AWS with Kubernetes, and CI/CD for model versioning and retraining. You don't need to hire a separate ML team and a separate DevOps team — we bring both under one engagement.
FinTech, Healthcare & MedTech, E-commerce, Supply Chain & Logistics, Enterprise SaaS, Computer Vision & Safety, Voice AI, and Telecom. Real production projects — not proof-of-concept work. Industries where AI mistakes cost real money, which makes the team precise about what gets deployed.
First working deliverable within 1 week of contract signature — a working prototype, a running pipeline, or a model evaluation on your data. No four-week "discovery sprints," no data collection delay, no PoC theatre before we show you something real.
Core ML: Python, PyTorch, TensorFlow, Scikit-learn. LLMs: LangChain, HuggingFace, GPT-4, Anthropic API, BERT, Transformers, spaCy. Computer Vision: OpenCV, YOLOv5. MLOps: FastAPI, Django, Docker, Kubernetes, AWS, Airflow, RabbitMQ. Whether you need to hire ML engineers, hire AI developers, or hire data scientists — the full Python AI stack is covered.
Yes. Staff augmentation is one of our core models. Your codebase, your tooling, your sprint cadence — we embed directly. You can also engage us for end-to-end AI delivery or consulting. The model is flexible; the engineers are the same regardless of engagement type.
Fixed monthly rate per engineer — no recruiter fees, no payroll taxes, no equipment costs. Rates vary by seniority and AI specialization (LLM, CV, MLOps). Reach out and we'll give you a straight number within 24 hours.
Most AI agencies sell you PoCs that never reach production, or wrap existing APIs and call it ML. Our team has published RL research, measurable business outcomes: +$2M ad revenue uplift, –23% supply chain waste reduction, 87% churn accuracy in FinTech. We ship, and we can demonstrate exactly what shipped and what it delivered.
