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Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)

Work format
onsite
Work type
fulltime
Grade
senior
English
b2
Country
Germany
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration) (Multi-GenAI orchestration, embedded software): Designing AI-driven SDLC platforms that orchestrate multiple LLMs, agent systems, and Atlassian workflows for embedded software development with an accent on agentic AI, enterprise governance, and safety-critical ECU systems. Focus on building autonomous engineering pipelines, integrating Jira, Confluence, and Bitbucket, and aligning real-time software with ASPICE, MISRA, ISO 26262, and ISO/SAE 21434.

Location: Munich, Germany

Company

hirify.global develops semiconductor technologies and embedded software solutions, including systems for automotive and other embedded applications.

What you will do

  • Define and lead architecture for Multi-GenAI orchestration platforms using approved enterprise GenAI tools.
  • Design modular multi-agent systems that coordinate LLMs, AI services, and Atlassian tools including Jira, Confluence, and Bitbucket.
  • Architect AI-enabled embedded software development workflows covering requirements, development, validation, and traceability.
  • Integrate AI into CI/CD pipelines, DevOps ecosystems, Bitbucket pipelines, build systems, testing, and release workflows.
  • Build autonomous engineering capabilities for code generation, optimization, debugging, root-cause analysis, and intelligent test creation.
  • Lead AI governance, engineering standards, and adoption of AI-first digital engineering platforms.

Requirements

  • Strong experience with Generative AI, LLMs, prompt engineering, RAG, Multi-GenAI orchestration, and agent ecosystems.
  • Hands-on experience with LangChain, AutoGen, and CrewAI.
  • Strong Python and C/C++ programming skills, with experience in AI orchestration and embedded systems.
  • Proven experience with Jira, Confluence, and Bitbucket is required.
  • Experience with DevOps, CI/CD, infrastructure-as-code, distributed systems, AI pipelines, and Azure or AWS.
  • Strong understanding of embedded systems, RTOS, ECU architectures, ASPICE, and safety-critical real-time systems.

Culture & Benefits

  • Work at the intersection of agentic AI, embedded engineering, DevOps, and digital transformation.
  • Contribute to enterprise AI governance and NXP AI Community standards.
  • Drive cross-functional innovation in AI-enabled software engineering platforms.
  • Employment type: full time.

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