The Role
Design, develop, test, and deliver full-stack software solutions while applying AI tools daily to assist code generation, test design, documentation, and troubleshooting. Collaborate cross-functionally with engineering, test, product, and operations to improve quality, maintainability, and delivery efficiency in a fast-changing environment.
Summary Generated by Built In
This role is responsible for participating in the design, development, testing, and delivery of software solutions while using AI tools to improve engineering efficiency and quality. It requires hands-on application of AI in day-to-day work across development, problem analysis, test design, documentation, and cross-team collaboration.
Responsibilities
1. Software Development and Delivery
- Design, develop, test, and deliver software solutions across the full stack
- Participate in technical implementation, issue analysis, and delivery of high-quality software features
- Continuously identify engineering improvements to enhance quality, maintainability, and delivery efficiency
2. AI-Driven Engineering Practice
- Use AI tools (such as GitHub Copilot, Cursor, ChatGPT, and Claude) in daily software development workflows
- Apply AI to development-related scenarios including requirements analysis, code generation assistance, test design, documentation, troubleshooting, and workflow optimization
- Explore effective AI workflows that improve team productivity and execution
3. Cross-Functional Collaboration
- Work closely with engineering, test, product, and operations teams to drive solution delivery
- Communicate technical issues clearly and support efficient cross-team problem solving
- Contribute to execution in a fast-changing technical and business environment
Qualifications
1. Education Background
- Bachelor’s degree or above in Computer Science, Software Engineering, or a related field
2. Work Experience
- 2–7 years of software engineering experience
- Hands-on experience using AI tools in daily software development workflows
- Experience working in cross-functional engineering teams
3. Technical Skills
- Proficient in at least one mainstream programming language such as Python, Java, TypeScript, C/C++, C#, or similar
- Familiar with modern software development practices, version control, and engineering collaboration workflows
- Able to apply AI tools to improve development efficiency, problem analysis, and software delivery quality (Mandatory)
4. Language and Collaboration
- Strong English communication skills for daily meetings, documentation, and cross-team collaboration (Mandatory)
- Strong communication skills with the ability to articulate technical issues clearly and collaborate effectively across teams to drive execution (Mandatory)
Additional Requirements
- Strong learning agility with the ability to ramp up quickly in new technologies or business domains and adapt to change continuously
- Able to work effectively in a dynamic environment with shifting priorities
- Strong problem analysis and execution mindset
Preferred Qualifications
- Experience applying AI to cross-domain tasks such as test automation, data analysis, document generation, DevOps, or support workflows
- Ability to design reliable prompts, skills, and AI workflows that produce verifiable results
- Experience with AI-assisted code review, debugging, or system design
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 2-7 years of software engineering experience
- Hands-on experience using AI tools (e.g., GitHub Copilot, Cursor, ChatGPT, Claude) in daily development workflows
- Proficiency in at least one mainstream programming language such as Python, Java, TypeScript, C/C++, or C#
- Familiarity with modern software development practices, version control, and engineering collaboration workflows
- Ability to apply AI tools to improve development efficiency, problem analysis, and software delivery quality
- Strong English communication skills for meetings, documentation, and cross-team collaboration
- Experience applying AI to test automation, data analysis, document generation, DevOps, or support workflows
- Ability to design reliable prompts, skills, and AI workflows that produce verifiable results
- Experience with AI-assisted code review, debugging, or system design
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
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The Company
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.
