AI Engineer

We are looking for a AI Engineer to lead the design and development of Machine Learning, Generative AI and agentic solutions in the telecommunications sector, in a hybrid work model. This role covers the end-to-end lifecycle, from business problem analysis to deployment, monitoring and continuous improvement.

WHAT YOU WILL DO

• Lead the design of Machine Learning, Generative AI, RAG and AI agent use cases with business impact.

• Translate complex business needs into analytical and AI-based solutions.

• Define technical approaches involving Machine Learning, LLMs, prompt engineering, embeddings and agentic frameworks.

• Contribute across the full solution lifecycle, from problem framing and experimentation to deployment and monitoring.

• Define evaluation frameworks for models, outputs, performance and solution reliability.

• Support the optimization, robustness and scalability of AI solutions.

• Mentor junior Data Scientists and contribute to technical knowledge sharing within the team.

Academic background at Master’s level in Data Science, Statistics, Computer Science or a related field.

• At least 3 years of experience in Machine Learning, Generative AI or related AI engineering contexts.

• Strong knowledge of modeling, optimization and LLM-based solutions.

• Experience designing and evaluating RAG, embeddings and AI monitoring approaches.

• Ability to lead technical discussions, guide junior profiles and communicate clearly with technical and business stakeholders.

• Strong analytical mindset, ownership and focus on quality, robustness and scalable delivery.

TECHNICAL SKILLS

• Machine Learning

• Generative AI

• Large Language Models

• RAG pipelines

• Embeddings

• Prompt engineering

• Model evaluation

• AI monitoring

• Python

• Spark

• Java

• LangChain

• LangGraph or similar agentic frameworks

Private health insurance from day one, with no waiting periods and optional family extension.

• Confidential mental health support through TEAM 24, including access to psychological support, content and live sessions.

• Continuous training and certification opportunities to support structured development and long-term capability building.

• A hybrid work model, with flexibility whenever the role and delivery context allow it.

• Childcare vouchers and practical measures that support balance between personal and professional life.

• Team moments, shared milestones and leadership presence when it matters most.

• Upskilling opportunities in quality management, information security, AI governance and cybersecurity best practices.

EQUAL OPPORTUNITY

Hexa is committed to equal opportunity and inclusive recruitment. We value diverse backgrounds, perspectives and experiences, in line with the principles of the Portuguese Diversity Charter.

At Hexa, we are all Builders. You will join a collaborative environment built on honesty, mutual support and agility, where people contribute, learn and grow together while helping to create reliable solutions with real impact.