Senior AI Integrations Engineer

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Overview

We’re building a brand‑new AI Engineering Team and this is your chance to help shape it from the ground up. As a Senior AI Integrations Engineer you’ll design and scale the backend foundation that powers AI‑driven discovery and intelligence in our product. You’ll connect systems, ingest and structure data, and make it searchable and meaningful for our users while ensuring performance, reliability, and maintainability. You’ll turn state‑of‑the‑art AI into real product impact, integrating established ML frameworks, vector and keyword search engines and transformer‑based architectures into production‑ready systems.

Company

Haiilo is a leading employee communications and engagement platform that empowers companies to foster a more connected, engaged, and aligned workforce.

What we are looking for

You’re a senior engineer who enjoys combining deep backend experience with a passion for applied AI. You think in systems, not silos – from architecture to operations – and you know how to turn ambitious ideas into reliable, scalable software.

• 5+ years of hands‑on experience building and operating SpringBoot (Java) services backed by a SQL database
• Hands‑on experience with keyword and vector search engines
• Solid understanding of Transformer architectures and how to use them effectively in production
• Experience with at least one widely used ML framework (e.g. PyTorch, TensorFlow, or similar)
• Proven ability to communicate complex technical concepts clearly – and collaborate across engineering, product, and AI teams in excellent English
• Huge interest in Retrieval‑Augmented Generation (RAG) (experience with hybrid search and re‑ranking systems) and cutting‑edge AI technologies
• Bonus for hands‑on experience with PostgreSQL, Elasticsearch, Python, AI agents, Kubernetes (k8s), Java profiling, or Google Cloud Platform (GCP)

Responsibilities

• Impact the design of backend services that integrate AI models and search technologies at scale
• Actively shape our AI data integration strategy and its implementation
• Build and optimize retrieval pipelines that make information searchable, contextual, and actionable
• Evaluate, select, and operationalize AI frameworks and libraries for real‑world use cases
• Collaborate closely with frontend and product teams to deliver intelligent, end‑to‑end user experiences
• Ensure excellence in code quality, performance, observability, and reliability – setting the bar for engineering practices across the team
• Act as a technical mentor and thought partner, driving knowledge‑sharing and fostering a culture of learning and innovation

What we offer

✨ Flexibility & Teamwork: We love our hybrid setup and meet to work on‑site at least 1 day/week, with Wednesdays as the designated in‑office day.

Company Vibe: We value spending time together, with regular team socials, themed afterworks, in‑person workshops, and an annual company week in Hamburg.