Senior AI Engineer — End-to-End AI, RAG & LLMs (Hybrid)

Siemens

Lisboa

Hybrid

EUR 90,000 - 135,000

Full time

11 hours ago
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Benefits offered by this job

Hybrid model
Home office budget
Health insurance
Learning platforms

Job summary

Siemens Portugal Tech Hub is seeking a Senior AI Engineer to design and deploy end‑to‑end AI systems, from data pipelines to user‑facing interfaces. You will drive RAG, embeddings, and agentic workflows while ensuring production reliability and measurable impact on Siemens processes.

The role demands 5+ years in software/ML, strong Python and cloud‑native experience, and fluency in English. Hybrid work model in Lisbon with a supportive, diverse team and growth opportunities.

Qualifications

  • Degree in Computer Science, Data Science, ML, Maths, Stats, Physics, Engineering, or related field; practical experience counts.
  • 5+ years in software engineering, ML engineering, or data science with hands-on AI/LLM experience.
  • Proven ability to take solutions from exploration to production and manage complex projects.
  • Experience with cloud-native development and containerization; API design and data stores knowledge.

Responsibilities

  • Design, develop, and deploy end‑to‑end AI solutions including RAG and retrieval pipelines.
  • Bring production‑grade practices to AI: clean code, testing, CI/CD, observability, MLOps/LLMOps.
  • Lead initiatives from concept to deployment, translating requirements into scalable tech.
  • Prototype quickly, validate with users, then harden valuable solutions.
  • Collaborate with an international team of engineers, PMs, and business stakeholders.

Skills

Python
TypeScript/Node.js
LLM frameworks
CI/CD

Education

Degree in Computer Science or related field

Tools

Docker
Kubernetes
PostgreSQL
MongoDB

Job description

Siemens Portugal Tech Hub is seeking a Senior AI Engineer to design and deploy end‑to‑end AI systems, from data pipelines to user‑facing interfaces. You will drive RAG, embeddings, and agentic workflows while ensuring production reliability and measurable impact on Siemens processes.

The role demands 5+ years in software/ML, strong Python and cloud‑native experience, and fluency in English. Hybrid work model in Lisbon with a supportive, diverse team and growth opportunities.

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