About Pillar

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Pillar was founded in 2025. Today, we are 80+ people, serve 900+ customers, raised €12 million in 2026, and are expanding internationally.

The mission

Build production-grade AI systems that solve real customer problems. We want someone who can move beyond prototypes and build agents, retrieval systems, document pipelines, and AI-native product features that are reliable, measurable, and deeply integrated into Pillar.

What You'll Do

- Own AI features end to end, from product problem to production.
- Design and build agentic workflows using tool orchestration, structured outputs, and multi-step reasoning.
- Build RAG and semantic search pipelines using embeddings, vector databases, hybrid search, and re-ranking.
- Develop document extraction workflows that turn invoices, reports, and forms into structured data.
- Build observability and evaluation systems for AI features, including tracing, experimentation, and automated quality checks.
- Optimize context, retrieval, and prompting strategies to improve accuracy and product quality.
- Work across our TypeScript stack when AI features require it, from backend logic to product integration.
- Use AI as a native part of your own engineering workflow, not only as something you build for customers.
- Move quickly from ambiguity to working product, making pragmatic technical decisions along the way.

Our stack

- Product: Next.js
- React
- TypeScript
- Backend & data: Supabase
- Node/Deno
- Postgres
- AI: Mastra
- LLM APIs
- embeddings
- vector search
- AI-native workflows





What You'll Bring

AI engineers with product mindset and high agency

- You have experience building LLM-based applications in production, not only prototypes.
- You are comfortable with agents, tool use, structured outputs, and orchestration.
- You have hands-on experience with RAG, embeddings, vector databases, and retrieval strategies.
- You are comfortable with TypeScript or can become productive in it quickly.
- You have worked with AI orchestration frameworks such as Mastra, LangChain, CrewAI, or similar.
- You are strong with SQL and relational databases.
- You understand prompt design, evaluation, and the trade-offs involved in building reliable AI systems.
- You have worked in a startup or scaleup environment and understand the pace, ambiguity, and ownership it requires.
- You take initiative, get your hands dirty, and get things done without waiting for perfect instructions.
- You can zoom out to understand the full product problem and zoom in when technical details matter.You communicate openly, learn quickly, and collaborate without ego.

How we work

- Agile and squad-based: small teams own their domains, with no unnecessary layers.
- AI-first: we build and work in the age of AI.
- Product ownership:



engineers are hands-on and accountable for delivered value.
- Bottom-up: initiative is expected, not delegated.

The profile that can succeed

AI-native

- Product-minded
- Startup DNA

The sweet spot: a hands-on engineer who has already built real AI products, ideally in a startup or scaleup environment, and knows how to combine LLM capabilities, software engineering, data, and product judgment to ship reliable features.

Location & languages

Milan or Barcelona; professional working English is required regardless of location.

What we offer

- Gross salary 55,000-75,000 € depending on experience.
- The opportunity to build core parts of Pillar's AI product and engineering foundations as we scale.
- End-to-end ownership: from AI architecture and experimentation to shipping features used by real customers.
- The chance to work in an AI-native engineering team, where AI is part of both the product and the way we build it.
- Close collaboration with Product, AI, and Engineering, with direct exposure to the problems we are solving for customers.
- Real autonomy, responsibility, and room to grow as Pillar and the engineering team scale.

Hiring process

- CV screening.
- 30-min Talent Call - motivation, Pillar knowledge, mindset, and startup fit.
- Two 30-min Technical Interviews - one focused on AI systems and architecture, one focused on product engineering and execution.
- Final Interview with our CTO.

One last thing

Pillar is hiring this person while all of that is still taking shape. xivgfpx

Build the system behind the scale.

Compensation Range: €55K - €75K

📌 AI Engineer (Romano di Lombardia)
🏢 Pillar
📍 Romano di Lombardia