AI/ML Engineer

📋 Job Overview

We are seeking an experienced AI Engineer to join our team and help build and evolve shared AI capabilities across multiple construction software products.

🏢 About Lingarogroup

Lingarogroup is a company focused on construction software products, leveraging AI to enhance our offerings.

🎯 The Role

The AI Engineer will be responsible for designing and implementing production-grade AI systems, including LLM-based experiences and retrieval pipelines.

✅ Key Responsibilities

• Build and continuously evolve shared AI capabilities, reusable services, and engineering accelerators.
• 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.
• Partner with product teams to identify high-value cross-product opportunities.
• Contribute to AI-native engineering practices inside the team.
• 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.

📌 Required Qualifications

• 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/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 for AI systems.
• Practical experience with AI-assisted engineering, Spec-Driven Development, and modern developer tooling.
• Strong architectural judgment with the ability to design reusable patterns and shared capabilities.
• 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.
• Adaptive mindset, high learning agility, and genuine openness to continuous change in a field shaped by rapid advances in AI.
• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field; equivalent experience considered for exceptional candidates.

🎁 Benefits

We provide a competitive environment where you feel valued and empowered to learn and grow. Missing one or two of these qualifications? We still want to hear from you!