AI Engineer

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 t