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# Software Engineer II

- **Company:** Honeywell International Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, C++ (Programming Language), Software Quality, Code Review, Cyber Security, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Search Technologies, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Security, Deep Learning, Model Validation, Software Application Programming, Generative AI, Agentic-AI, Information Technology, Google Gemini, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/1_honeywell3-159680

## About the Role

maintainability expectations. **YOU MUST HAVE** + 2+ years of hands-on AI/ML software engineering experience, including developing and deploying AI/ML solutions in production environments. + 2+ years of hands-on experience with Large Language Models (LLMs) and Generative AI. + 2+ years of experience with prompt engineering, pipelines, embeddings, vector databases, and semantic search. + 2+ years of programming/software engineering experience using Python, with demonstrated ability to develop clean, maintainable, production-quality software. + 3+ years of software engineering/programming experience, with strong proficiency in Python and experience with at least one additional programming language such as C++ or Java. **WE VALUE** + Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field. + Experience with commonly used AI/ML frameworks and libraries & Experience with Azure and/or Gemini cloud, Experience with evaluation, monitoring, and observability of production AI applications. + Knowledge of responsible AI, AI security, cybersecurity, and secure software-development practices. + Experience or exposure to multi-agent systems and autonomous AI agents with deep-learning concepts and architectures, including Transformers. + Strong analytical, communication, and problem-solving skills. + Experience working with cross-functional teams to deliver production software solutions. **BENEFITS OF WORKING FOR HONEYWELL** In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package., Learn more (https://benefits.honeywell.com/) The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

## Description

You will work with experienced AI and software engineers to build reliable, maintainable, and scalable AI-powered solutions.
You will collaborate with software, product, data, and platform teams while continuing to develop hands-on expertise in production AI and software engineering.
You will report directly to our Director of Engineering, and you'll work out of our Phoenix, Arizona location on a hybrid work schedule.
Note: For the first 90 days, new hires must be prepared to work onsite 100% M-F. **Key Responsibilities** + Build applications and software components using Large Language Models (LLMs) and Generative AI. + Develop and enhance prompt workflows, pipelines, embeddings, vector search, and semantic-search capabilities + Develop Python-based AI/ML applications, APIs, services, and supporting software components. + Integrate AI models and services with existing software applications. + Assist with model evaluation, testing, performance measurement, and optimization. + Participate in deployment, monitoring, and maintenance of AI/ML solutions. + Collaborate with product, data, software, and platform teams to deliver business-aligned AI solutions. + Participate in architecture, technical design, and code reviews. + Troubleshoot complex AI/ML and software issues and perform root-cause analysis. + Ensure AI solutions meet software quality, reliability, security, scalability, and