AI Software Engineer|Manufacturing
Listed on 2026-07-23
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Software Development
AI Engineer (Applied/Software), Backend Developer, Full Stack Developer, Machine Learning/ ML Engineer
AI Software Engineer
The AI Software Engineer will design and build AI-driven applications powered by large language models (LLMs), with a focus on integrating AI capabilities into user-facing products. This role emphasizes application development, orchestration, and user experience rather than model training. The engineer will develop scalable backend services, prototype intuitive user interfaces, and enable seamless interaction between users and LLM-based systems. This position requires a strong blend of software engineering, systems thinking, and practical AI implementation to deliver production-ready solutions that leverage LLM APIs and frameworks.
Design and develop end-to-end AI applications that leverage LLMs for business use cases
- Build and maintain backend services that orchestrate LLM interactions, prompts, and workflows
- Prototype and develop intuitive user interfaces that enable effective human-AI interaction
- Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications
- Develop prompt engineering strategies and manage prompt lifecycle for performance and reliability
- Implement retrieval-augmented generation (RAG) architectures using internal and external data sources
- Design data pipelines and connectors to enterprise systems (e.g., databases, APIs, knowledge bases)
- Monitor, evaluate, and improve AI application performance using metrics such as latency, cost, and response quality
- Collaborate with product managers, data scientists, and business stakeholders to translate requirements into AI-enabled solutions
- Ensure responsible AI practices, including privacy, security, and bias mitigation
- Rapidly prototype AI tools and iterate based on user feedback
- Experience building AI products using LLM frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index)
- Knowledge of retrieval-augmented generation (RAG) and vector databases (e.g., Pinecone, FAISS, Azure Cognitive Search)
- Vector database (Milvus) for semantic search, along with a knowledge graph (Neo4j)
- Experience orchestrating multi-step AI workflows or agent-based systems
- Familiarity with enterprise data platforms and integrations (e.g., Snowflake, SAP, APIs, knowledge graphs)
- Experience designing conversational interfaces or chat-based applications
- Understanding of evaluation techniques for LLM outputs (quality, grounding, hallucination mitigation)
- Exposure to prompt optimization, fine-tuning concepts (not necessarily hands-on training)
- Experience deploying scalable microservices architectures
- Strong UI/UX sensibility for AI-driven applications
- Experience working in cross-functional teams delivering production-grade AI solutions
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 3+ years of professional software development experience
- Strong programming skills in Python, JavaScript, or similar languages
- Experience building and consuming RESTful APIs
- Hands-on experience integrating LLM APIs or similar AI services into applications
- Familiarity with prompt engineering and LLM interaction patterns
- Experience developing web-based user interfaces (e.g., React, Angular, or similar frameworks)
- Understanding of cloud platforms (e.g., Azure, Snowflake)
- Knowledge of software design principles, version control, and CI/CD practices
Minimum Qualifications
- Master's Level Degree and related work experience of 6 years; OR Bachelor's Level Degree and related work experience of 8 years; OR equivalent work experience
Base Pay Range: $ - $ Annually
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are…
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