Agentic AI Engineer
Designs and ships production agents. Owns the loop: tool use, memory, evaluation, guardrails.
- Dissel Talent . Hire AI engineers
Hire AI engineers who have actually shipped.
Vetted senior AI engineers, agentic AI specialists and ML developers. Practitioner-screened by the team that ships AI for a living. EU-compliant contracts. Shortlist on your desk in 5 working days.
- Why Dissel Talent
The market is full of CVs. We send you engineers.
Most AI staffing in 2026 is a recruiter screen on top of LinkedIn. Three quarters of the CVs mention LangChain, RAG, agents and fine-tuning. Twenty percent have shipped any of it. Five percent have run a production AI system through a real customer load.
We do the screen the rest of the market skips. Every engineer in the Dissel Talent network has been vetted by our own delivery team. Cost discipline, eval discipline, data fluency, paired build exercise. The people you interview are the small fraction who actually ship.
Bundled with delivery, optionally. The same team that runs AI implementation at Dissel can review the first month of the engineer's work, so the hire does not stall on a missing playbook.
- Roles we place
AI roles, not generalists.
AI Engineer (LLM apps)
Builds production AI features on top of foundation models. RAG, function calling, evals, cost discipline.
ML Engineer
Classical and modern ML in production. Pipelines, retraining, monitoring, MLOps.
AI Implementation Lead
Owns end-to-end delivery of an AI initiative, from scope to live workflow. Senior, accountable.
AI Adoption & Enablement Lead
Drives organisation-wide AI adoption, training, and change. The reason pilots reach production.
AI Voice / Multimodal Engineer
Speech, audio, video. Realtime APIs, latency budgets, voice agents that survive a real call.
- The vetting screen
Six filters between the senior and the senior-titled.
We run the same screen on every engineer that joins the network. The full playbook is in our perspective on how to vet an AI engineer in 2026.
Production scars
Every engineer has shipped at least one AI system that real, paying users hit for three months or more.
Eval discipline
They have run an eval suite in CI, not just read about Ragas. They can describe their golden set by hand.
Cost story
They know the per-request cost of what they ship and have made the routing trade-offs to keep it sane.
Data fluency
Agentic engineers are data engineers in disguise. We screen for schema contracts, PII handling, drift detection.
Paired exercise
A 45 minute live build on a real messy dataset. We watch how they think, not what they memorise.
No hype tourism
Skeptical of new frameworks. Strong opinions on which abstractions earn their weight, which add noise.
Hire an AI engineer who can ship.
Tell us the role and the outcome. Shortlist in 5 working days. EU-compliant contracts handled end to end.