About the Position

Lead AI Engineer

Full timeMilano · On site with smart working

Senior developer who owns all of Maverick's development: agentic architectures, integrations and AI systems in production for enterprise clients. Reports directly to the founder.

Responsibilities

Design and build AI systems
- Design and implement LLM-based solutions: agents with tool use, workflow orchestration, RAG, skills, MCP integrations, and automations on company systems. Write the code, define evaluations and guardrails, build monitoring and observability, and follow the solution from deployment through to running it in production.
Integrate AI with company systems
- Connect solutions to ERP, CRM, document management, Microsoft and Google environments, and legacy systems such as AS400. Design APIs and integrations, handling authentication, permissions, security, and data processing.
Set the technical standards
- Choose the stack, the tools, and the reference architectures, and build components that carry over from one project to the next. Review the code of the collaborators working with us and keep the quality of what we ship high.
Understand processes and choose what to build
- Step into processes you don't know, reconstruct them with the people who run them, and quickly tell what is technically interesting apart from what creates value. Identify and prioritize use cases, estimate effort and complexity, and see straight away what can be built, how, and what it costs.
Be the client's technical reference
- Work with enterprise clients, including industrial groups, listed companies, and private equity portfolio companies, dealing with general management, function heads, and IT. Beyond building the solution, you are one of the client's main points of contact.
Take solutions through to adoption
- After release, train the users, gather feedback, improve the solution, and support the move from first use to settled adoption.

Requirements

Solid software engineering foundations
- At least 5 years in software development and can work across backend, APIs, integrations, databases, cloud, and CI/CD. You have built real systems, taken them to production, and know what maintaining them means: reliability, rollout, technical debt, incidents, and architectural trade-offs.
Hands-on experience with LLMs and agents
- Worked on LLM-based systems used by real users, with tool use, orchestration, RAG, evals, guardrails, and memory. Know the problems that show up after the prototype stage and how to deal with them.
Technical ownership
- Used to making architectural decisions on your own and standing behind them. Have already been the technical reference on a project or a product.
An AI-first way of working
- Use coding agents daily to develop and refactor code, generate tests and documentation, run reviews, and speed up debugging and delivery. For us, they are part of how software gets built.
Autonomy with clients
- Held direct responsibility in the relationship with clients or senior stakeholders. Can hold a conversation with an operations director or a CIO, explain an architectural choice in business terms, and say no when a request doesn't lead to the right solution.
Ability to communicate and write
- Can produce analysis documents, technical specs, prompts, and training material that are clear and usable. We work in Italian and English.
Startup mindset
- Look for speed, ownership, and pragmatism. Comfortable in a changing context, where part of the job is building the processes, standards, and tools themselves.
Education
- A master's degree in computer science, engineering, or a related field.

Nice to Have

Experience with the Anthropic ecosystem (Claude API, Claude Code, MCP, Skills, Agent SDK)
Experience with Microsoft 365 and the Power Platform
A background in technology consulting, a hyperscaler, or a system integrator
Experience with mid-market companies, industrial groups, and family-controlled businesses

We Offer

Compensation
- Gross annual salary from €40,000 to €55,000
- Variable bonus up to 15% of salary, based on performance
- Equity plan vesting over 4 years

About the Company

The role is on site in Milan, with smart working and travel to clients across Italy. We believe working together in person matters, especially at this stage of growth, and we keep flexibility where the work allows it.

The AI adoption market in Italy is taking shape right now. Whoever joins today helps define how Maverick designs, builds, and ships AI systems, and becomes one of the key people in the growth of the technical team.

Selection Process

Introductory conversation
Technical working session on a real case
A day working together on a live project
Final conversation with the founder

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Lead AI Engineer

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