AI Engineer, Product - Milan
About this role
If you are here, it is because you know that we are looking for a AI Engineer for our Product team.
indigo.ai is the leading platform in Italy for building next-generation AI Agents that transform the way companies communicate with their customers. Since 2016, we’ve been helping enterprises in industries such as finance, insurance, utilities, retail, and e-commerce to evolve their Customer Experience through conversational AI. We don’t just “sell software”: we enable a shift in how organizations interact with people, automating millions of conversations every year, reducing operational costs, improving conversion rates, and creating more personalized, scalable, and compliant customer journeys.
Backed by a recent €10 million investment from Azimut, we are on a mission to take this technology global. This is a unique opportunity to join a well-funded, highly ambitious team and play a direct role in shaping the future of enterprise AI.
To make this happen, we are looking for a Product AI Engineer to and work alongside the person who leads AI on the product today.
What are we looking for?
We are looking for an AI Product Engineer to join our Product team. This role combines software engineering fundamentals, product sense, and hands-on AI execution. You will own AI features end-to-end—building agentic workflows, designing RAG architectures, establishing evaluation pipelines, and integrating probabilistic AI systems cleanly into our platform.
Key Responsibilities:
End-to-End Feature Delivery: Design, prototype, and ship AI capabilities directly into the product, owning features from initial concept to production deployment.
Agentic Pipelines & Workflows: Build multi-step agentic workflows, tool-calling frameworks, and decision-making logic that reliably orchestrate complex enterprise tasks.
RAG & Knowledge Architectures: Design and optimize Retrieval-Augmented Generation (RAG) architectures over messy enterprise documents, tuning search strategy, context retrieval, and response grounding.
AI Evaluation & Quality: Build evaluation frameworks, regression testing suites, and quality gates to measure output accuracy, hallucination rates, latency, and reliability.
Product & UX Integration: Align AI features with real user workflows, managing streaming responses, loading states, and edge cases gracefully.
Observability & Iteration: Monitor production AI features, using telemetry and conversation signals to iteratively refine system performance and safety.
You will need:
Agentic Architectures & RAG Expertise: Practical experience building agentic systems (tool/function calling, multi-agent orchestration, state management) and deep familiarity with modern RAG approaches (vector search, hybrid retrieval, chunking strategies, re-ranking).
Production Experience with LLMs: Hands-on experience deploying LLM systems with real users or production traffic, with a clear understanding of what breaks in production and how to fix it.
Elixir & AI-Assisted Workflows: Solid backend engineering fundamentals and hands-on experience using agentic coding tools (Claude Code, Cursor, Codex) in your daily practice. You will rely on AI assistants to confidently read, write, and contribute directly to our product codebase, which is built mainly in Elixir.
Evaluation & Reliability Discipline: Proven ability to test probabilistic systems using objective evaluation suites, quality gates, and guardrails rather than manual output checking.
Product Sense: Ability to solve problems with a scalable product mindset, ensuring solutions work for one client and scale seamlessly for the next ten.
Language Skills: Fluent Italian and good working proficiency in English (B2+).
We will really like (but they are not required):
Conversational AI Background: Experience with enterprise chatbots, voicebots, CCaaS integrations, or messy real-world document processing.
Model Serving & Fine-Tuning: Hands-on work with self-hosting, quantization, or fine-tuning open-source models for enterprise data residency and cost efficiency.
Observability & Cost Attribution: Experience with LLM tracing, latency budgets, and per-request cost monitoring.
Our values:
At indigo.ai we prize Vision (curiosity and courage to challenge the status quo), Connection (empathy, candor, and trust), Responsibility (ownership, reliability, and follow-through), and Excellence (the habit of raising the bar and refining until it’s right). If you naturally think ahead, build strong relationships, take accountability, and obsess over the quality of what you deliver, we’re probably a great match.
What do we offer?
A key role in one of Europe’s fastest-growing AI scale-ups, backed by a €10M investment from Azimut.
A competitive salary in the range of 38-45k RAL, commensurate with experience + a performance-based Bonus.
A flexible, remote-friendly work environment.
Meal vouchers and Welfare programs to support your everyday life.
Access to a dedicated education budget for continued learning and growth.
Career Development Plan, ensuring a clear path for both personal and professional growth.
Top-grade equipment.
Unlimited coffee.
Company retreats in stunning locations throughout the year.
Where is the job?
This position is fully remote, so there's no need to be in a specific location to do your work. That said, we have an amazing office at SPACES, Piazza Gae Aulenti 1/Torre B in Milan, available to anyone who wants to use it. We also love getting together and organize various retreats and meetups throughout the year to stay connected.
Why join us?
At indigo.ai you’ll be part of a fast-growing SaaS company where your ideas and work can turn into products used by millions. Join us and you’ll:
Work with the most advanced AI technologies, shaping how enterprises across industries engage with their customers.
Be part of a dynamic and passionate team, where everyone has a direct impact on company growth.
Grow in a culture that values transparency, continuous learning, and career development, with clear paths for personal and professional progression.
Enjoy a flexible, people-first environment, with remote-friendly policies, stunning retreats, and a strong focus on well-being.
Contribute to our mission of reshaping how companies and people communicate worldwide.
Originally posted on Himalayas
