📁 About our client:
Our client is a global leader in regulatory intelligence for Environment, Health & Safety and Product Compliance. They are building next-generation AI systems that help the world's largest companies navigate regulatory complexity. Strong investment in engineering culture, AI tooling, and technical excellence at scale.

🚀 Responsibilities:

People & Team

• Lead, mentor, and grow a team of software engineers: setting clear expectations, running effective 1:1s, and creating an environment where people do their best work.

• Drive work planning, capacity management, and delivery cadence: keeping the team focused on impact.

• Translate business priorities into engineering plans and advocate for your team's needs with leadership.

• Build a culture of code review, knowledge sharing, and constructive technical debate.
  

Technical

• Own technical direction for your team's services: architecture decisions, API design, infrastructure patterns, and build-vs-buy tradeoffs.

• Establish and enforce engineering standards across CI/CD pipelines, repository structure, testing strategies, and deployment practices.

• Stay hands-on enough to review code, debug production issues, and make informed architecture calls.

• Champion adoption of AI-assisted development tools and measure their team-level impact.

• Partner with the broader AI organization to integrate ML models and LLM-powered features into production services.

• Ensure systems are observable, scalable, and resilient — owning reliability as a first-class concern.

👤 Profile sought:

Experience:

• 2+ years leading software engineering teams (5–12 engineers), with a track record of hiring, developing talent, and delivering results.

• 5+ years of hands-on software engineering.
  

Technical skills:

• Strong Python skills plus meaningful experience in at least one compiled/systems-level language (C#/.NET, C++, Go, Rust, or similar).

• Production experience with cloud platforms (Azure, AWS, or GCP). Comfortable with Terraform or Bicep, Kubernetes/AKS, and infrastructure-as-code lifecycle.

• Working knowledge of SQL databases, Elasticsearch, vector databases (Qdrant, Pinecone), and message brokers (Kafka or equivalent).

• Deep experience with distributed service design: RESTful APIs, event-driven patterns, microservices boundaries.

• Experience building CI/CD pipelines and shaping engineering workflow.

• Daily-driver comfort with Linux environments.

• Active user of AI coding assistants, with ideas on team-wide rollout.

Bonus:

• Experience managing remote or distributed engineering teams.

• Familiarity with MLflow, experiment tracking, or ML pipeline tooling.

• Background in NLP, RAG architectures, or LLM integration patterns.

• Experience in regulated industries (EHS, legal, financial, healthcare).

Languages:

• Fluent English required.

Soft skills:

• People-first, technically credible leadership style.

• Strong communicator across technical and business audiences.

• Autonomous decision-maker with a bias for impact over ceremony.

• Advocate for engineering culture and continuous improvement.

🌍 Benefits & Culture:

• Direct Recruitment

• Tech stack: Azure/AKS, Terraform, Kafka, Elasticsearch, Qdrant, Python, LLMs (OpenAI, Anthropic, Google), MLflow, Splunk.

• Direct partnership with the Chief AI Officer: short feedback loops, real influence on architecture and strategy.

• Culture that treats AI tools as core infrastructure, not experiments.

• Competitive compensation and flexibility.

• Hybrid role → 40% at the office in Lisbon (2 days / Week)
  

💼 Department: Tech / AI

📍 Location: Lisbon, Marques Pombal → 20% at the office

💰 Salary: Up to 75K€

📆 Start date: ASAP