AI Engineer | Lisbon/Porto

Join NOS as an AI Engineer

At NOS, we are applying Generative AI and Machine Learning in large-scale internal operations, with a clear goal: to transform the operational model of the organization and measurably improve the day-to-day lives of thousands of employees and millions of customers.

We are a forward-looking company, a leader in communications, entertainment, and technology in Portugal. We believe in the power of innovation to create real impact — economic, social, and environmental — and we are bringing GenAI into production, not just for pilots. This role is for those who enjoy building real systems, used every day: production integrations, clear metrics, incidents, continuous learning — and not just demos or proofs of concept.

You will work in agile and multidisciplinary squads, linking GenAI + data pipelines + software engineering, mainly in GCP, with a direct impact on NOS's internal operations.

Your day-to-day (GenAI-first)

The typical distribution of work will be close to:

• ~60% GenAI
• ~25% Data Engineering
• ~15% Classic ML

Stack and architecture (indicative)

• Cloud: GCP (BigQuery, GCS, Pub/Sub, Cloud Run; others as needed)
• Language: Python
• Data: batch/stream pipelines, modeling and quality

How we measure success at NOS

• GenAI solutions that reduce operational time and cost, with clear metrics
• Quality and security: evals and regressions protecting releases, effective guardrails
• Stable services and pipelines, with good observability and continuous evolution
• Ability to collaborate with Data Engineers, Data Scientists and product/business

Who we are looking for - Must-have (to proceed)

• Practical experience delivering data/ML software in production (or equivalent experience; Master's is valued, not mandatory)
• Solid Python (readable, testable, versioned code; comfort with code review)
• Experience with data pipelines (batch and/or streaming)
• Experience with applied GenAI
• Reliability and operational mindset: logging, metrics, troubleshooting

Why NOS?

• Real scale, complex data and relevant problems
• Experienced teams in engineering, data, and product
• Technical autonomy, responsibility, and focus on impact
• An environment where GenAI is moving from hype to operation

Do you want to build GenAI in production, with real impact? Join NOS.