AI Engineer
About Pillar 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 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. Build the system behind the scale. Compensation Range: €55K
- €75K #J-18808-Ljbffr
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 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. Build the system behind the scale. Compensation Range: €55K
- €75K #J-18808-Ljbffr