Technical AI Adoption Specialist
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About us
Yellow Tech is a strategy consulting firm specialised in AI transformation: we help companies understand and adopt artificial intelligence. We are an AI-first company, made of humans and AI agents working together, born with the arrival of LLMs and fully bootstrapped: we sustain ourselves and we decide what to build.
The Business Development team finds companies and qualifies them; the Strategist understands the need, closes the project and coordinates it; the Trainers train the people (AI Academy), the Engineers build agents (AI Factory).
Your responsibilities
You are the one who takes AI from the demo to the way a technical team works: you get into their processes, build new workflows together with developers and IT, and make them autonomous with coding agents, APIs and automations.
- Bring AI into clients’ technical teams: You run live training with developers, data teams, IT and DevOps, getting them to actually use models, AI coding tools, APIs and agents on concrete cases.
- Turn training into adoption: You lead working labs on the company’s real processes: you build workflows and automations together with the teams and help them set new AI-assisted standards of work.
- Design technical learning experiences: You start from the client’s stack, processes and level to build tailored paths: agenda, coding exercises, repositories, asynchronous content, assessment and follow-up.
- Bring the AI frontier into delivery: You constantly test new models, frameworks and tools, work out what actually works and turn what you learn into new content and methods to bring to clients.
Your path
- In the first month: you shadow a senior Technical AI Trainer at clients and run your first technical module, live coding included. From there you quickly get to running complete sessions on your own with developers, data teams and IT: training, working labs and hands-on work on the client’s real cases.
- After 9 months: you can move to the next level, on results and on clear, quantitative and transparent performance criteria.
- Every week: you test new models, APIs, frameworks and AI coding tools and turn what you learn into content and use cases to bring into delivery.
What we offer
- A front-row seat on AI: You work every day with the most advanced tools. The training we bring to clients is part of your own path too: mentorship, peer learning and hands-on sessions to stay up to date on AI.
- Talent density: You will work alongside the strongest people on the hottest topic of the moment, in a young team with zero ego, collaboration, respect and direct feedback.
- Growth and impact: Every role has a written growth path, from Junior to Head of, with measurable criteria you know from day one: you grow on results, not on seniority. And you grow fast, because you work in small teams with huge impact and real autonomy from the start.
- Result-driven pay: The variable component is tied directly to results and has no cap: the more value you generate, the greater the financial recognition of your contribution.
Before you apply
We work mainly in person, from our office in Corvetto, Milan. We are an early-stage company with big ambitions and we believe that being together, day after day, is essential to build energy, alignment and results. That said, we operate with flexibility and common sense: remote work is possible when it is needed.
LLMs arrived three years ago and created a new market. The window is wide and it is open now; to stay ahead of it you have to work better and harder than the others. Anyone looking for a predictable pace will not be happy here.
Native Italian is required. We write requirements as a direction, not as a barrier: if the role appeals to you and you think you can grow fast, apply even with a profile that is not a perfect match. It has happened before, and it worked out.
Compensation
€24,000 to €39,000
Base salary
- Variable bonus
- From €8,000
- Stock options
- Available
Hiring process
- 1
Online form
- 2
Technical interview, online
- 3
Fit interview, online
- 4
Final interview with the Lead of AI Engineering, in person in Milan
Sounds like the right place?