[Hiring] Lead AI Engineer @OutSystems

Role Description

As a Lead AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools.

• Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding.
• Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended.
• Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents.
• Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation.
• Collaborate with cross-functional teams to ship and iterate on production-grade AI products.
• Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability.
• Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project.

Qualifications

• Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued.
• 7+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production.
• Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued.
• Strong software engineering fundamentals and proficiency in Python are a must.
• Be creative, ambitious and curious. Be resourceful and innovative.

Benefits

• A company at the vanguard of the agentic revolution, where we don’t just react to AI innovation—we architect it.
• Real growth opportunities through structured programs designed to scale your expertise.
• A global collective of world-class talent, collaborating with enterprise software legends and sought-after thought leaders.
• An inclusive culture where talented individuals from all backgrounds are empowered to learn, experiment and make an impact.