Company Overview
Group/Division
Job Description/Preferred Qualifications
The Senior Software Engineer builds and supports software systems that enable AI-driven capabilities in products and internal platforms. This role focuses on developing reliable services, APIs, and workflows that integrate machine learning and generative AI (where applicable) into real-world applications. The engineer works closely with AI/ML engineers, data engineers, and product partners to deliver features from design through production support.
Key Responsibilities
- Develop backend services and APIs that integrate AI/ML capabilities into applications (e.g., inference endpoints, orchestration services, workflow automation).
- Implement business logic around AI outputs, including validation, confidence handling, fallback behaviors, and human-in-the-loop patterns where needed.
- Build integration layers to connect AI services with enterprise systems and data sources.
- Own delivery of highly complex features/components with limited guidance: break down tasks, estimate effort, and deliver on schedule.
- Write clean, maintainable code with appropriate abstractions and documentation.
- Build robust testing (unit/integration) and ensure features meet performance, reliability, and security expectations.
- Instrument services with logging, metrics, and tracing; support production monitoring and incident triage.
- Troubleshoot issues across environments and participate in on-call/operational support rotations as applicable.
- Apply basic responsible AI practices—logging, transparency, and guardrails—based on established team standards.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 5–7 years of professional software engineering experience delivering production applications/services.
- Proficiency in at least one modern language such as Python, C#,etc..
- Experience building APIs/services, working with databases, and shipping features via CI/CD pipelines.
- Solid understanding of software engineering fundamentals: data structures, debugging, testing, and code quality.
- Experience supporting AI or ML-enabled applications (e.g., integrating inference services, building orchestration around model outputs).
- Familiarity with LLM application patterns (prompt orchestration, RAG basics, tool/function calling) and evaluation concepts.
Nice to Have
- Experience with cloud platforms (e.g., Azure/AWS/GCP) and containerization (Docker/Kubernetes).
- Exposure to event-driven systems (queues/streams) and observability tooling.
- Experience with basic front-end development or building AI-assisted UX flows.
Core Skills
- Backend Engineering: REST APIs, services, async processing, microservice patterns
- Software Quality: unit/integration testing, CI/CD, code reviews, documentation
- Operations: logging/metrics/tracing, performance tuning, incident triage
- AI Integration (preferred): model inference integration, orchestration, guardrails/fallbacks
- Data Fundamentals: SQL basics, data contracts, working with structured/semi-structured data
Minimum Qualifications
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
KLA is proud to be an equal opportunity employer
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
