Sr Business Systems Analyst at Honeywell collaborating with IT project managers on quality and budget expectations in aerospace technologies.
About the role
- Backend Engineer developing high-performance backend systems for AI applications. Collaborating with product and data teams to build scalable architectures for diverse use cases.
Responsibilities
- Build extensible backend systems that support flexible configurations for different customers and content types.
- Support infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.
- Advance tooling that enables fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.
- Follow best practices for ease of deployment, integration, and testing—both for internal teams and external partners.
- Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.
Requirements
- Experience and track record in backend systems or infrastructure engineering.
- Evidence of impact of your contributions to team and company
- Software engineering skills in Python, Go, Java, or equivalent.
- Experience working with scalable APIs, backend systems and data pipelines.
- Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).
- Experience with cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).
- Passion to learn, stretch and innovate
Benefits
- Competitive compensation, comprehensive benefits, and hybrid in-office policy.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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