Lead AI Engineer

Job description

UK - Remote

Portugal - Remote

There are NO limits to your career: come shape the future and be part of a truly unique global culture at Out Systems!

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.

The sky's the limit and you’ll help us get there.

• 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.

• 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.

Out Systems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.

As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems.

But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At Out Systems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles.

Our goal is to ensure that Out Systems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment.

Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our…