Description
/Preferred QualificationsWe are seeking an experienced AI Software Engineer to join our team and help drive the development and deployment of cutting-edge AI solutions. The ideal candidate will have experience developing and deploying Generative AI solutions, Large Language Models (LLMs), and cloud-based software deployments. This role requires expertise in Python, deploying and supporting cloud-base solutions (Azure preferred), and ensuring production applications are scalable, reliable, and well-maintained.
Responsibilities:
Design, develop, and deploy AI-driven solutions leveraging Generative AI and LLMs
Architect and implement scalable, cloud-based AI applications (Azure experience preferred)
Build and optimize AI models using Python and modern ML frameworks
Ensure reliable software deployment and support production environments
Drive best practices in AI, cloud deployment, and solution architecture
Monitor and troubleshoot production AI applications, ensuring high availability and performance
Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into software products
Provide technical mentorship and guidance to junior engineers
Minimum Qualifications
Bachelor's degree in CS, IT, Computer Engineer or related field
Minimum eight (8) years of proven experience in software engineering, AI engineering, cloud engineering, or a similar role
Experience supporting and maintaining production AI applications
Solid understanding of solution architecture, software deployment, and cloud infrastructure
Experience deploying applications to cloud environments (Azure Preferred)
Hands-on expertise in Generative AI and Large Language Models (LLMs)
Proficiency in Python and experience with AI/ML frameworks (e.g., CUDA, OpenAI, Hugging Face, or similar)
Ability to collaborate effectively with multi-functional teams and partners
This is a Hybrid role (3 days in the office) and will be based out of our Midwest Corporate HQ in Ann Arbor, MI
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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 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 to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Sr. Software Engineer - AI/ML • Ann Arbor, MI
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