Staff AI Agent Engineer at Siemens Energy

Descrição da Função:

Últimas informações de emprego de Siemens Energy para o cargo de Staff AI Agent Engineer. If the Staff AI Agent Engineer vaga em Amadora corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.

Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em Siemens Energy para o cargo de Staff AI Agent Engineer abaixo seja adequada ao seu perfil.

About the Role

As a Staff AI Agent Engineer in Siemens Energy’s AI Factory, you’ll own entire agent products end‑to‑end – from research prototype to production – across an organisation whose technologies underpin an estimated one‑sixth of the world’s electricity generation. Your agents will process real contracts, triage real engineering emails, and support project managers running multi‑billion‑euro gas‑turbine installations. You’ll work in a small, high‑autonomy team where shipping matters more than titles, and the agents you build today will define how an entire industry works tomorrow.

Responsibilities

• Own one or more AI agent products end‑to‑end – design, build, deploy, monitor, and iterate – ensuring they deliver measurable value across all business functions.
• Build production agents and tools from scratch in Python or TypeScript, including LLM fine‑tuning and embedding adaptation, delivering them as stable services that teams across the organisation rely on daily.
• Stay at the frontier of agentic AI research – evaluate emerging techniques, run experiments, and translate relevant advances into production improvements across the Factory.
• Establish and evolve best practices for agent evaluation pipelines, RAG strategies, prompt optimisation, and caching – raising the quality bar for every agent shipped from the Factory.
• Collaborate cross‑functionally with product owners, domain experts, and business stakeholders to translate complex industrial workflows into reliable agent behaviours.
• Contribute to the AI Agent Factory platform – reusable templates, shared tooling, and architectural patterns – so every new agent ships faster than the Última.

Qualifications

• 6–9 years delivering AI/ML solutions in production, with demonstrable ownership of systems that are still running and generating value.
• A research‑oriented mindset – you stay current with the latest in LLM and agentic AI research, proactively identify techniques that can improve production systems, and bring new ideas to the team. PhD or research background is a plus.
• Strong hands‑on skills building production software in Python (TypeScript or Go a plus), with experience in LLM integration, fine‑tuning, and embedding pipelines – not just prompt engineering.
• Experience deploying cloud‑native AI workloads (AWS preferred – CDK, Serverless, Bedrock) with attention to cost, latency, and reliability.
• Hands‑on expertise with LLM providers and frameworks: Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph.
• University degree or equivalent experience in Computer Science, Engineering, or a related field.

Benefits

• Competitive salary and meal allowance.
• Fair compensation for international work.
• Health insurance coverage.
• Remote work permitted within the País.
• Additional 5 “Pontes” days off and Birthday off if it falls on a weekday, when not abroad (only applies for Portugal).
• Among others.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please Contactos to request accommodation.

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Informação da Vaga:

• Empresa: Siemens Energy
• Cargo: Staff AI Agent Engineer
• Local de Trabalho: Amadora
• País: PT

Como enviar a sua candidatura:

Após ler e compreender os critérios e requisitos mínimos explicados na informação da vaga Staff AI Agent Engineer at the office Amadora acima, prepare de imediato os documentos de candidatura, tais como carta de apresentação, CV, cópia do diploma e outros anexos. Envie através do link 'Próxima Página' abaixo.

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