Senior ai engineer

Sobre a vaga

We're looking for a Senior AI Engineer to join one of our R&D teams building the AI-driven core of our product. The role involves building AI-driven features, applying judgment about the AI tooling landscape, and cloud-native architecture in Go. You will evaluate whether new tools or techniques are worth adopting and help the team decide what to build vs. buy vs. integrate.

O que vais fazer

• Design, build, and own LLM-powered pipelines and agent-based systems that find, triage, and remediate security risk in production, at scale
• Design retrieval and context strategies (RAG, tool use, memory) that ground model behavior in our product's data and domain
• Define and run evaluations for model/agent quality and use them to drive iteration and model selection
• Evaluate emerging AI tools, models, and frameworks against our product needs, producing clear build-vs-buy-vs-integrate recommendations for the team and leadership
• Stay ahead of the AI landscape: new LLM releases, agent architectures, orchestration frameworks, and techniques and translate relevant developments into concrete engineering proposals
• Own the reliability of AI features in production: guardrails, structured output validation, fallback behavior, and observability tuned for LLM-based systems
• Participate in design discussions and code reviews, bringing an AI-informed perspective to architecture decisions

O que é pedido

• 5+ years of professional software engineering experience, with strong hands-on experience building with LLMs and AI agents, not just experimenting with them
• Experience designing RAG pipelines, retrieval strategies, or context/memory systems for LLM applications
• Practical experience evaluating model and agent quality (accuracy, hallucination, latency, cost) and using evals to guide decisions
• A demonstrated habit of evaluating and comparing AI tools, models, or vendors, with informed opinions on tradeoffs
• Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Vertex AI)
• Strong proficiency in Go and/or Python
• Solid understanding of distributed systems (message queues, gRPC/REST APIs, relational databases) and experience with Docker/Kubernetes
• Strong testing, CI/CD, and observability fundamentals
• Excellent English communication skills

Valorizado

• A genuine research habit, following AI research/practitioner communities
• Experience with vector databases and embedding models
• Application security knowledge
• GitOps tooling (ArgoCD, Helm), OpenTelemetry

O que é oferecido

• great work environment
• professional development
• challenging careers
• competitive compensation
• great work-life balance
• great benefits and perks throughout the year

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Benefícios e vantagens (8)

• Apoio ao home-office
• Comida, fruta e bebida
• Flex benefits
• Flexibilidade de horário
• Jogos no escritório
• Mais de 22 dias de férias
• Prémios de performance
• Seguro de saúde

Valores e cultura (7)

• Códigos de alta qualidade
• Feedback contínuo e 360º
• Híbrido
• Igualdade de género
• Incentivo à criatividade & inovação
• Pessoas portadoras deficiência / incapacidade permanente
• Tecnologias de ponta