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AI Engineer, Product - Milan

AI Engineer Fully remote (no specific location required)

Job details

Not specified Salary
Fully remote (no specific location required) Eligibility
Not specified Experience
Not specified Employment

About this role

Role overview

Join a well-funded, fast-growing SaaS team building next-generation conversational AI agents as a Product AI Engineer. The role sits at the intersection of software engineering, product design, and applied AI, with end-to-end ownership of agentic features shipped into a production platform serving enterprise customers across finance, insurance, utilities, retail, and e-commerce.

Responsibilities

- Design, prototype, and ship AI capabilities from initial concept through production deployment. - Build multi-step agentic workflows, tool-calling frameworks, and decision logic that orchestrate complex enterprise tasks reliably. - Design and optimize Retrieval-Augmented Generation (RAG) architectures, tuning retrieval strategy, chunking, and response grounding over enterprise documents. - Build evaluation frameworks, regression test suites, and quality gates covering accuracy, hallucination, latency, and reliability. - Integrate AI features into real user workflows, handling streaming responses, loading states, and edge cases gracefully. - Monitor production AI behavior with telemetry and conversation signals, iterating on safety and performance over time.

Requirements

- Practical experience building agentic systems, including tool and function calling, multi-agent orchestration, and state management. - Deep familiarity with modern RAG approaches such as vector search, hybrid retrieval, chunking strategies, and re-ranking. - Strong software engineering fundamentals for shipping production-grade, probabilistic AI systems. - Product sense for aligning AI capabilities with real user workflows and UX expectations.

Benefits and work setup

- Fully remote position with a flexible, people-first culture. - Office space available in Milan for those who want to use it, plus regular team retreats and in-person meetups. - Competitive compensation commensurate with experience, plus a performance-based bonus. - Meal vouchers and welfare programs to support everyday life. - Dedicated education budget for continuous learning. - Structured career development plan with clear progression paths. - Top-grade equipment provided.

Skills detected in the listing

LLM
Detected Sep 28, 2026
Last verified Sep 28, 2026

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