ML / AI Engineer

Stack

Responsibilities

• ▹Build and continuously evolve shared AI capabilities, reusable services, and engineering accelerators adopted across multiple construction software products
• ▹Design and implement production-grade AI systems including LLM-based experiences, retrieval pipelines, tool use, orchestration layers, and agentic workflows
• ▹Create human- and machine-executable technical artifacts such as specs, evals, interface definitions, and workflow contracts
• ▹Define and apply evaluation-driven development loops for AI systems, covering quality, reliability, latency, cost, and grounding
• ▹Partner with product teams to identify high-value cross-product opportunities, support integration of shared capabilities, and recommend patterns
• ▹Contribute to AI-native engineering practices through Spec-Driven Development, AI-assisted development workflows, automated testing, and intelligent engineering agents
• ▹Apply practical standards and guardrails for AI reliability, observability, governance, security, and responsible production use
• ▹Prototype and validate new technical approaches quickly
• ▹Support and guide other engineers through technical collaboration, peer review, and knowledge sharing
• ▹Work closely with AI PM/PO, engineering, and business stakeholders to align implementation choices with customer value, delivery feasibility, and measurable outcomes

Requirements

• ▹At least 5+ years of hands-on software engineering experience, including significant work on production-grade AI or data-intensive systems
• ▹Excellent Python programming skills
• ▹Proficiency in Azure and AWS cloud platforms
• ▹Hands-on experience with Generative AI technologies and applications
• ▹Strong practical understanding of LLMs, retrieval-augmented generation, tool use, agents, and their real-world trade-offs, limitations, and failure modes
• ▹Experience designing and operating end-to-end AI systems across APIs, application services, data pipelines, retrieval layers, evaluation workflows, and cloud infrastructure
• ▹Ability to define measurable quality criteria and evaluation approaches, balancing customer value with reliability, latency, cost, and maintainability
• ▹Practical experience with AI-assisted engineering, Spec-Driven Development, and modern developer tooling
• ▹Strong architectural judgment for designing reusable patterns and shared capabilities while collaborating with product teams that own local implementation decisions
• ▹Demonstrated track record of contributing to cross-functional work from early exploration and prototyping through production rollout and continuous improvement in agile environments
• ▹Ability to support and influence other engineers, raise technical standards through collaboration, and create clarity in ambiguous and fast-changing AI environments
• ▹Strong communication and collaboration skills, with the ability to translate technical complexity into decisions and actions

Nice to have

• ▹Availability to work between 2:00 PM and 10:00 PM CET is preferred

Soft skills