Sr. AI Engineer

SiTime Corporation is seeking a hands-on Sr. AI Engineer to design, build, deploy, and operate production-grade AI applications and agents that connect large language models with SiTime data and systems.

Responsibilities

• Build production AI applications by designing and implementing LLM-powered applications and agentic workflows that progress from prototype to reliable deployment.
• Develop enterprise agents and integrations by connecting AI solutions securely to business systems, data platforms, APIs, knowledge bases, and workflow tools using approved integration patterns.
• Implement retrieval and knowledge solutions, including RAG pipelines with ingestion, chunking, indexing, metadata, access controls, retrieval, and grounding.
• Engineer for quality and trust through evaluation datasets and automated tests covering accuracy, completeness, safety, latency, reliability, and cost; add human review where appropriate.
• Own deployment and operations by establishing CI/CD, observability, prompt and model versioning, incident response, and ongoing performance and cost monitoring.
• Build reusable platform components including shared services and patterns for model access, orchestration, secure connectors, memory, tool use, auditability, and policy enforcement.
• Apply responsible AI and security controls to protect confidential information and intellectual property using least privilege access, data handling controls, logging, red-teaming, and adherence to SiTime policies.
• Partner with business and technology teams to define outcomes, prioritize use cases, and deliver solutions that fit existing workflows across product, business functions, Business Applications, Data, Security, and IT.
• Measure business value by instrumenting adoption and outcome metrics, quantifying time, quality, or cycle-time improvements, and iterating based on evidence.
• Advance engineering practices through design and code reviews, documentation of architectures and runbooks, mentorship, and staying current on models, frameworks, and enterprise AI patterns.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (master’s degree preferred).
• 7+ years of software engineering experience, including 3+ years building AI/ML or generative AI solutions.
• Experience shipping LLM-based applications or agents to production, not only prototypes.
• Strong Python skills with experience building production services, APIs, and distributed or cloud-native applications.
• Working knowledge of LLM application patterns including prompting, RAG, tool/function calling, structured outputs, agent orchestration, and model evaluation.
• Experience with vector search, embeddings, document processing, data pipelines, and enterprise knowledge retrieval.
• Experience with cloud AI services and modern engineering practices such as containers, CI/CD, infrastructure automation, testing, monitoring, and source control.
• Understanding of identity, authorization, secrets management, data privacy, secure API design, and responsible AI controls.
• Ability to integrate with enterprise platforms including ERP, CRM, collaboration, ticketing, and data systems.
• Excellent written and verbal communication skills to translate business needs into technical designs and explain trade-offs clearly.
• English proficiency required to communicate, collaborate, and perform job responsibilities in a professional business environment.

Technologies

• Python
• CI/CD, CI, CD
• Containers
• ERP, CRM
• Azure AI Foundry, Azure OpenAI
• Microsoft 365 Copilot, Github Copilot, Copilot Studio
• Microsoft Graph, Power Platform
• Vector search, embeddings, retrieval-augmented generation (RAG)
• LLM, LLMOps, MLOps
• E-Verify

Preferred Qualifications

• Hands-on experience with the Microsoft AI ecosystem including Azure AI Foundry, Azure OpenAI, Microsoft 365 Copilot, Github Copilot, Copilot Studio, Microsoft Graph, and Power Platform.
• Experience with orchestration frameworks and model providers while maintaining provider-independent architecture where practical.
• Experience building governed enterprise agent marketplaces, reusable agent components, or model gateways.
• Experience with MLOps/LLMOps, automated evaluation, red-teaming, tracing, and AI cost management.
• Experience applying AI to enterprise workflows in Sales, Finance, Operations, HR, Engineering, or Customer Support.
• Semiconductor, electronics, or manufacturing industry experience.

Benefits

• 401(k) plan
• Medical, dental, vision, and life insurance
• Parental leave
• Legal services
• Time-off plans
• Quarterly bonus tied to the achievement of innovation goals
• Equity grants

Compensation

• Annual base salary range: $124,920 - $171,770
• Quarterly bonus eligibility tied to innovation goals
• Equity grants offered

Additional Information

• Location: Santa Clara, CA (onsite)
• Equal Opportunity Employer
• Participates in the E-Verify program