AI Engineer

2 giorni fa

Milan, Lombardy, Italia EquityMind Tempo pieno 45.000 € - 65.000 € Contratto

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About EquityMind EquityMind is an early-stage fintech startup with our engineering team in Milan. We’re building an AI research assistant that makes US stock analysis faster and more trustworthy. Ask it anything about a company and it answers from real SEC filings and hard financial data, and shows you exactly where every claim comes from. The product is already live and working. Now we’re putting together the team to take it further. We’re small, we move fast, and we care a lot about getting things right, because in finance an answer you can’t trust is worse than no answer at all. The role We’re building a small AI engineering team in Milan to turn EquityMind from a working product into a mature one. You’ll work closely with the founder and have real ownership over technical and product decisions. What you’ll do
• Extend the agent pipeline (LangGraph): understanding questions, choosing data sources, tool calling, report generation
• Improve retrieval quality and the evaluation tooling (hallucination checks, data coverage, regression tests)
• Move the system to AWS and make it production-ready
• Help shape what we build next, including a mobile version with spoken briefings What we’re looking for
• Strong Python and hands-on experience building with LLMs: RAG, tool calling, agents
• You’ve shipped an AI product to real users (strong plus)
• Comfortable with PostgreSQL / pgvector and FastAPI
• You care about reliability: tests, evals, and numbers you can trust
• You enjoy working in a team: code reviews, shared decisions, clear communication
• Working proficiency in English and Italian, as the team works in both
• Nice to have: financial or market-data experience, AWS

What we offer
• Full-time role, RAL €45,000–65,000 depending on experience
• Hybrid: 2 days a week in our office near Piola (M2), the rest remote
• One of the first engineering hires, with real impact on the product and how the team works To apply, send your CV and something you’ve built with LLMs (GitHub, demo or a short description).

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