Junior AI Engineer
At a glance
Junior AI Engineering role at Eedu. Lisboa · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain AI applications, agents and workflows, then document the reusable components
- Create Generative AI prototypes using LLMs, retrieval methods, APIs and automation tools
- Write mainly Python and develop low-code automations with guidance from experienced engineers
- Connect AI solutions to APIs, applications, databases and data platforms, then assess their quality and reliability
- Help take tested prototypes into production while following security and Responsible AI practices
What you bring
- A relevant degree or equivalent practical experience, plus experience with at least one programming language
- A grounding in software engineering, MCP and databases, with some exposure to Generative AI and prompt design
- You have built something using an LLM or another AI tool, including as a personal project
- Fluent written and spoken English, with confidence discussing requirements with business users
Who this fits
This junior role suits someone building on software, data or low-code experience who wants hands-on practice with AI and enterprise delivery. You’ll work with experienced engineers and business users, and take part in design sessions, sprint planning and code reviews. The role can be based in Lisbon or Manila.
From the employer
About WTW
WTW is an award-winning advisory, broking, and solutions company that supports clients worldwide in transforming risk into opportunities for growth. With a rich insurance heritage dating back to 1828, from the Titanic in 1912 to the Moon Buggy in 1971, WTW brings deep industry expertise and longstanding experience.
This role can be based in Lisbon or Manila. Our WTW Regional Delivery Center, in the heart of Lisbon, brings together a strong global team of more than 450 colleagues who deliver operational excellence every day through innovation and streamlined, efficient solutions. In Manila, you will join our delivery team there and work as one team with colleagues in Lisbon and across our markets.
About the role
We are looking for a Junior AI Engineer to help design, build and implement AI-powered solutions that address real business needs.
Working alongside experienced AI Engineers and the Tech Lead, you will contribute to solutions from early experimentation and prototyping through testing and production. You will also take part in conversations with business users to understand what they need.
This is a hands-on role with a strong learning component. Whether you come from software engineering, data or low-code automation and are now building with AI, you will gain practical experience in Generative AI, cloud technologies and enterprise delivery.
What you will do
Help build, test, maintain and document AI-enabled applications, agents, skills, workflows and reusable components;
Develop prototypes and proofs of concept using Generative AI, LLMs, RAG, APIs and automation technologies;
Write and maintain code (mainly Python) and build low-code automations (e.g. Power Automate, Copilot Studio) with support from experienced colleagues;
Support the integration of AI solutions with APIs, applications, databases and data platforms such as Microsoft Fabric;
Test and evaluate AI solutions for quality, reliability and performance;
Troubleshoot technical issues, document findings and help resolve them;
Help move successful prototypes from experimentation into production;
Follow established architecture, development, testing, security and Responsible AI standards;
Join requirements discussions with business users and Business Analysts, asking questions to understand the real need;
Take part in solution design sessions, sprint planning, code reviews and retrospectives;
Contribute to technical documentation, prompt libraries, evaluation assets and knowledge sharing;
Keep developing your knowledge of Generative AI, software engineering, cloud and enterprise delivery.
What we are looking for
Degree in Computer Science, Engineering, Mathematics or a related discipline, or equivalent practical experience;
Experience with one or more programming languages, preferably Python; JavaScript/TypeScript, Java or C# is a plus;
Foundational understanding of software engineering, MCP and databases;
Exposure to Generative AI, LLMs and prompt engineering;
Familiarity with tools such as Git and REST APIs;
Has built something with an LLM or AI tool, including personal projects;
Awareness of Responsible AI, including data privacy, model limitations and human oversight;
Strong problem-solving skills, attention to detail, curiosity and willingness to learn in a fast-paced environment;
Ability to take ownership of tasks and deliver against agreed priorities and timelines;
Good communication skills and the confidence to discuss requirements with business users across distributed teams;
Fluency in English, both written and spoken (mandatory).
Why WTW?
At WTW, we offer more than just a job—we offer a career. Here’s what you can expect:
Work-Life Balance: Enjoy flexible working hours and hybrid working options to suit your lifestyle.
Competitive Compensation: Benefit from an attractive, performance-related remuneration system.
Global Exposure: Join an international consultancy with the security of a global corporation and renowned clients.
Career Development: Experience a steep learning curve and ample opportunities for individual career growth through on-the-job learning and specialist training.
Collaborative Culture: Work in a collegial, appreciative, and dynamic environment where decisions are made together.
Impactful Work: Quickly take on responsibility and make an impact with direct customer contact.
Community and Celebration: Participate in corporate events and celebrate our successes together.
Join Us!
Be part of a team that values innovation, excellence, and collaboration. At WTW, your career is more than just a job—it’s a journey. Apply now and turn your potential into success with WTW!
Willis Towers Watson is an equal opportunity employer.