Distributed Cloud | GenAI Engineer
Devoteam Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Devoteam. Lisboa · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build Python APIs, services and pipelines that support scalable backend systems
- Put LLM components into live products through retrieval, workflows or agents where they fit
- Choose cloud-neutral designs and deploy them across Azure, AWS or GCP
- Set up MLOps pipelines to release, monitor and improve production GenAI models
- Guide technical choices, review code and mentor engineers while improving reliability, testing and cost control
What you bring
- At least ten years in professional software engineering
- Strong Python backend skills and a track record of putting Generative AI systems into production
- Solid grounding in software architecture and distributed systems
- Practical experience with Azure, AWS or GCP, plus CI/CD and current deployment methods
Who this fits
This hands-on technical role suits an experienced engineer ready to own architecture and implementation while guiding other engineers. The position is based in Lisboa and is hybrid.
From the employer
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
We design and build enterprise-grade Generative AI solutions that run in production. LLMs are treated as software components within robust, scalable, and observable systems, not as experimental tools. Our solutions are cloud-agnostic by design, and can be deployed on Azure, AWS, or GCP, while selectively leveraging managed services when they add real value (e.g. search, AI, or data platforms).
Your mission is to own the technical design and implementation of end-to-end Generative AI solutions, ensuring
strong software engineering practices, sound architectural decisions, and reliable integration of LLM-based components into real-world systems.
This role is hands-on and technical, with responsibility for technical leadership, mentoring, and architectural decision-making.
Key Responsibilities
- Design and build scalable backend systems in Python (APIs, services, pipelines).
- Integrate LLMs into production systems (RAG, workflows, agents when justified).
- Define cloud-native, cloud-agnostic architectures.
- Ensure quality, testability, observability, and control of cost and latency.
- Lead technical decisions, code reviews, and mentor engineers.
- Build scalable MLOps pipelines for the deployment, monitoring, and continuous improvement of GenAI models in production environments.
- Ensure the ethical, secure, and responsible deployment of generative models, managing risks related to bias and data privacy.
- 10+ years of professional software engineering experience.
- Strong backend development experience with Python.
- Proven experience delivering Generative AI systems to production.
- Solid understanding of software architecture and distributed systems.
- Hands-on experience with cloud platforms (Azure, AWS, or GCP).
- Experience with CI/CD and modern deployment practices.
Nice to Have
- Experience with RAG, vector search, and data platforms (e.g. Databricks).
- Familiarity with cloud AI and search services (e.g. Azure AI Search or equivalents).
- Experience with containerized and cloud-native architectures.
- Strong technical leadership and mentoring skills.
The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.