AI Engineer, Product - Milan

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.

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.

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.