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Open nowPosted 155 days ago

Senior AI Backend Engineer - Siemens Mobility

Hiire27 open roles

Where
Lisbon, Portugal
Work mode
Hybrid
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Your applicationOpen nowSenior AI Backend Engineer - Siemens MobilityHiire · Lisbon, Portugal

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Hiire postings stay open a median of 29 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 155 days ago

Hiire median: 29 days open

The posting

Hiire is supporting Siemens Mobility in the search for a Senior Backend to join a team focused on building enterprise-grade AI solutions with direct impact on critical business operations and workflows.

This is an opportunity to work in a highly technical and multidisciplinary environment where AI, software engineering, and product thinking come together to create scalable solutions for real-world problems. We are looking for someone with a hands-on mindset, strong production focus, and experience turning AI prototypes into robust and reliable systems.

What You’ll Do

  • Collaborate closely with engineering, operations, and business stakeholders to understand workflows, identify pain points, and design AI-driven solutions with measurable impact.
  • Translate complex requirements into scalable AI-enabled services and technical concepts.
  • Contribute directly to the design and architecture of systems powered by LLMs and retrieval technologies.

Build AI Systems for Production

  • Develop and maintain scalable, production-grade AI services focused on: LLMs, RAG pipelines, Hybrid retrieval, Semantic search, Vector search, Agentic workflows
  • Build backend APIs, data pipelines, and integrations while ensuring reliability, observability, and engineering best practices.
  • Own the full development lifecycle: architecture, implementation, testing, deployment, and monitoring.

AI Evaluation, Prompt Engineering & Data Quality

  • Design rigorous evaluation strategies for AI output quality, retrieval accuracy, and model behavior.
  • Treat prompt engineering as an engineering and experimentation discipline.
  • Ensure high standards for data quality and contextual grounding across AI systems.
  • Mentor junior team members on AI engineering, experimentation, and evaluation practices.

What We’re Looking For

  • 5+ years of experience in Backend Development.
  • Strong proficiency in modern Python (3.11+), including: async/await, typing, Pydantic.
  • Ability to bridge experimental Data Science workflows with reliable and maintainable software engineering practices.
  • Experience with: Docker, CI/CD, testing frameworks (pytest), code quality tooling (ruff, mypy), Git workflows and code reviews

Nice to Have

  • Experience building and operating AI solutions in production and enterprise environments.
  • Exposure to AI, NLP, or Information Retrieval.
  • Hands-on experience with: LLMs, Prompt Engineering, RAG, GraphRAG, Vector databases / OpenSearch, AI evaluation pipelines
  • Experience with AWS Bedrock or Azure OpenAI.
  • Familiarity with MCP (Model Context Protocol) and modern AI interface standards.

If you’re looking for an opportunity to work on applied AI in a serious, scalable, and impactful environment, this could be a very exciting next step.

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