Hiring AI talent is hard, slow, and expensive to get wrong. Skip it. Bring on vetted AI/ML engineers, LLM specialists, and forward-deployed engineers who embed in your team, learn your domain, and ship production AI — with AI-enabled development that moves faster than a traditional build.
Model development, training, and deployment — computer vision, NLP, forecasting, and recommendation systems in production.
RAG pipelines, fine-tuning, prompt engineering, and LLM app development with LangChain, the OpenAI and Claude APIs, and vector databases.
Embedded engineers who sit with your team, learn your domain, and ship AI solutions against real business problems — the fastest path from idea to working software.
Data pipelines, feature stores, analytics, and the clean, well-governed data foundation every serious AI project depends on.
Model serving, monitoring, evaluation, and CI/CD for AI — so your models stay reliable, observable, and cost-efficient in production.
Product engineers who build with AI in the loop — shipping AI features and using AI-assisted development to move dramatically faster.
Share your AI goals, stack, and timeline. We map the exact roles and seniority you actually need — not a bloated team.
Receive hand-picked AI/ML engineers and FDEs whose real-world experience matches your problem, usually within days.
Assess technical depth, domain fit, and communication through interviews and live problem-solving. You choose.
Your engineer starts fast — embedded in your workflow, with direct communication, daily reporting, and the flexibility to scale.
Senior AI/ML engineers with production experience, not bootcamp resumes
Forward-deployed model — engineers learn your domain and ship against it
AI-enabled development: teams that build faster with AI in the loop
Direct communication and daily reporting with your chosen engineer
Flexible engagement — a single specialist to a full AI squad
Data security, IP protection, and enterprise-ready processes
Define the problem first — a support copilot, a forecasting model, and a computer-vision pipeline each need different skills. VitalIntel maps the right roles and seniority, sends a vetted shortlist, and lets you interview and select. Your chosen engineer embeds in your team and starts shipping, typically within a week.
A forward-deployed engineer works directly alongside your team — learning your domain, your data, and your users — and builds AI solutions against your real problems rather than working at arm's length. It's the model behind the fastest-moving AI companies, and it's how you go from idea to working software in weeks, not quarters.
AI-enabled development means our engineers build with AI in the loop — using AI coding assistants, automated testing, and code generation to ship substantially faster without sacrificing quality. You get more throughput per engineer and a team fluent in the tools that define modern software delivery.
Either. Start with one senior AI/ML engineer or FDE embedded in your team, or spin up a full AI squad with data, MLOps, and product engineering. You can scale up or down as the project evolves — no bloated minimums.
Typical start is within 7 days of you selecting a candidate. Because engineers are pre-vetted, most of the timeline is your interview and onboarding, not sourcing.
Tell us the problem you're solving. We'll send a vetted shortlist of AI/ML engineers and forward-deployed engineers who can start in days — no commitment required.