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Updated twice daily · Oct 15, 2026
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Advanced AI Software Engineer

Honeywell AerospacePhoenix, AZ

This engineer will create production applications using LLMs, generative AI, agentic workflows, retrieval systems, embeddings, vector databases, and cloud services. The position spans the full AI engineering lifecycle, including experimentation, evaluation, deployment, monitoring, performance tuning, security, and ongoing operational support. Working with software, product, data, cloud, cybersecurity, and architecture teams, the engineer will turn business needs into measurable AI solutions and establish strong engineering practices. The role also includes reviewing designs and code, mentoring other engineers, and guiding technical decisions. It suits an experienced AI/ML and software engineer who is comfortable delivering enterprise-grade systems and leading cross-functional technical work.

Requirements

4+ years building and supporting production AI/ML and generative AI solutions4+ years with LLMs, agentic AI, prompt/context engineering, embeddings, vector databases, and search4+ years architecting production AI applications, APIs, cloud deployments, evaluation, observability, and security5+ years of software engineering experience with strong Python and another language such as C++ or JavaExperience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or Semantic KernelExperience with cloud AI platforms, containers, CI/CD, MLOps/LLMOps, and responsible AI practices
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Listed October 14, 2026 · Verify details with the employer before applying.

About Honeywell Aerospace

Phoenix-headquartered aerospace unit (7,000+ AZ employees) running an Advanced Air Mobility Lab developing autonomous eVTOL/UAS flight tech and an AI innovation hub with ASU.

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