Software Engineer II

Honeywell•Phoenix, AZ

1d•Hybrid

About The Position

As an Engineer II at Honeywell, you will develop, test, and integrate AI/ML capabilities into software applications and products. 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.

Requirements

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.

Nice To Haves

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 platforms.
Experience with Docker and Kubernetes & model deployment and CI/CD for ML workflows.
Knowledge of microservices and distributed systems.
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.

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 maintainability expectations.