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

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- 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

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- 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

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- 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. xlwpduy

Build the system behind the scale.

Compensation Range: €55K - €75K

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