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. In this role, you will connect large language models with SiTime data and systems across the full lifecycle, with a focus on responsible AI and measurable business impact. The position is based in Santa Clara, CA and requires on-site work.

What you’ll do

• Build production AI applications: design and implement LLM-powered applications and agentic workflows that transition from prototype to reliable production.
• Develop enterprise agents and integrations: securely connect AI solutions to business systems, data platforms, APIs, knowledge bases, and workflow tools using approved integration patterns.
• Implement retrieval and knowledge solutions: create retrieval-augmented generation (RAG) pipelines, including ingestion, chunking, indexing, metadata, access controls, retrieval, and grounding.
• Engineer for quality and trust: create evaluation datasets and automated tests for accuracy, completeness, safety, latency, reliability, and cost, and include human review where appropriate.
• Own deployment and operations: establish CI/CD, observability, prompt and model versioning, incident response, and ongoing performance and cost monitoring for AI services.
• Build reusable platform components: develop shared services and patterns for model access, orchestration, secure connectors, memory, tool use, auditability, and policy enforcement.
• Apply responsible AI and security controls: 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: collaborate with product owners and teams across Business Applications, Data, Security, and IT to define outcomes, prioritize use cases, and align solutions to existing workflows.
• Measure business value: instrument adoption and outcome metrics, quantify time, quality, or cycle-time improvements, and iterate based on evidence.
• Advance engineering practices: conduct design and code reviews, document architectures and runbooks, mentor engineers, and stay current on models, frameworks, and enterprise AI patterns.

Requirements

• Education: a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (a master’s degree is preferred).
• Experience: 7+ years of software engineering experience, including 3+ years building AI/ML or generative AI solutions.
• Production delivery: demonstrated experience shipping LLM-based applications or agents to production, beyond prototypes.
• Software engineering: strong Python skills, including building production services, APIs, and distributed or cloud-native applications.
• LLM application patterns: experience with prompting, RAG, tool/function calling, structured outputs, agent orchestration, and model evaluation.
• Knowledge and retrieval: experience with vector search, embeddings, document processing, data pipelines, and enterprise knowledge retrieval.
• Cloud and modern engineering practices: containers, CI/CD, infrastructure automation, testing, monitoring, and source control.
• Security and responsible AI: understanding of identity, authorization, secrets management, data privacy, secure API design, and responsible AI controls.
• Enterprise integration: ability to integrate with enterprise platforms such as ERP, CRM, collaboration, ticketing, and data systems.
• Communication: excellent written and verbal communication skills, including translating business needs into technical designs and explaining trade-offs clearly.
• English proficiency is required for professional collaboration and job execution.

Technologies you may work with

• Python, CI/CD, containers, CI, CD
• 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

Compensation and benefits

• Base salary range: USD 124,920 - 171,770 per year
• Quarterly bonus: tied to achievement of innovation goals
• Equity grants: eligible for equity grants
• Insurance: medical, dental, vision, and life insurance
• 401(k) plan
• Parental leave
• Legal services
• Time-off plans

Equal opportunity

SiTime is an Equal Opportunity Employer and participates in the E-Verify program.