38 llmops engineer jobs at 30 companies in California
4w
Save
Mark Applied
Hide
4w
AI Engineer Lead
Irvine, California, United States
$179k-$287k/yrOnsiteFull Time
Capital Group: Providing active investment management and research-driven financial strategies
10+ YOE10+ years software engineering experience, strong Python, hands-on LLM/LLMOps and RAG production experience, system design, eval-driven development, security/privacy controls, and bachelor’s degree or equivalent.
Coaction Specialty Insurance: Provides specialty property and casualty insurance for commercial businesses.
5+ YOE5+ years building production systems; proficiency in Python/C#/Java; experience with LLMs, RAG, embeddings, vector DBs, ML/LLMOps; cloud experience (AWS/Azure); strong engineering hygiene and AI risk/security awareness.
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
15+ YOE15+ years software engineering,5+ years at principal/staff/director scope;deep expertise in agentic AI,LLM systems,multi-agent orchestration,RAG,LLMOps/MLOps,AI observability,governance;enterprise cloud architecture and leadership.
Miami or New York or San Francisco or Mexico City or United States
RemoteFull Time
Félix Pago: Remittance platform for money transfers via WhatsApp messaging.
8+ YOE8+ years software engineering experience with infrastructure and systems development; 2+ years building production LLM/AI applications; strong Python, system architecture, containerization (Docker/Kubernetes), CI/CD, observability, RAG and agentic systems experience.
Dallas or St. Petersburg or Tampa or Atlanta or Columbus or Houston or Cleveland or California or Colorado or District of Columbia or Illinois or Maine or Maryland or Massachusetts or Minnesota or New York or New Jersey or Virginia or Washington
$63k-$220k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
4+ YOEMinimum 4 years Snowflake engineering and large-scale data experience, 4+ years Python/Java, production CI/CD and IaC experience, practical MLOps/LLMOps, 1+ year agentic AI production experience, strong communication and client-facing skills.
Senior. Distinguished AI Engineer (Agentic AI Platform)
San Francisco or McLean or Cambridge or San Jose or New York
$343k-$392k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
8+ YOEMaster's + 8 years or Bachelor's + 10 years in AI/ML; deep software engineering skills; experience with agentic frameworks, LLMOps, cloud platforms, Kubernetes, and mentoring/architecting large-scale AI systems.
RingCentralNYSE: RNG: Sells cloud-based business phone and video conferencing software.
5+ YOEBS/MS in CS/AI or related, 5+ years software engineering experience with 1+ years building/deploying generative AI/LLM applications, strong Python, RAG, vector/graph DBs, AWS, agentic frameworks, LLMOps, and excellent communication.
McAfee: Provides cybersecurity and privacy protection software for consumers.
10+ YOE10+ years platform engineering experience with GenAI/LLM ecosystems, Kubernetes (EKS/GKE), cloud (AWS/GCP), Python and Go, Terraform, Backstage, CI/CD, vector stores/OpenSearch, Kafka, and enterprise AI security and governance.
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)
San Francisco or McLean or New York City or San Jose or United States or Cambridge
$286k-$392k/yrRemoteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
10+ YOEBachelor's degree plus 10 years or master's plus 8 years developing AI/ML technologies; 10 years programming; experience with scalable AI platforms, agentic frameworks, LLMOps, Kubernetes, and technical leadership.
Information Technology - Principal Platform Engineer, Enterprise AI Enablement
Vancouver or Seattle or Toronto or New York City or Los Angeles
OnsiteFull Time
AritziaToronto Stock Exchange: ATZ: Designs and sells everyday luxury women's clothing and accessories.
Deep enterprise AI and platform architecture experience, LLMOps/MLOps, AI guardrails and observability, vector DBs and data orchestration, vendor evaluation, and cross-functional leadership for enterprise AI enablement.
Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI, LLMOps, MLOps, RAG
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced ML engineer to build, deploy, optimize and operationalize LLM-based applications with strong MLOps/LLMOps and scalable production systems expertise.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
3+ YOE3+ years professional software development; strong Python skills; hands-on GenAI or conversational AI experience; familiarity with retrieval/embeddings/vector search, prompt engineering, API integration, LLMOps, and AI developer tools; Bachelor’s degree required.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years experience; BS/MS/PhD in CS/Engineering; leadership; expertise in AgentOps, GenAIOps, LLMOps, generative/agentic AI; strong communication and collaboration.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
3+ YOE3+ years professional software development; strong Python; hands-on GenAI/conversational AI, retrieval/embeddings/vector search, prompt engineering, API/backend integration, LLMOps and MCP/tool-calling exposure; Bachelor's degree required; use of AI developer tools (Cursor, Claude Code).
Python, Azure OpenAI, Azure AI Foundry, Azure Functions, Azure App Service, Microsoft Application Insights, Microsoft Teams, Snowflake Cortex, Cortex Analyst, MongoDB, Atlas Vector Search, Docker, Cursor, Claude Code, AWS, GCP
Software Engineer II – AI Engineer (w/ skills in Deployment)
San Ramon, California, United States
$85k-$124k/yrRemoteFull Time
Robert HalfNYSE: RHI: Provides specialized staffing and global business consulting services.
4+ YOE4+ years IT experience with 2+ years software engineering and 1+ year GenAI deployment; experience with LLMs, RAG, prompt engineering, CI/CD, containers, cloud platforms, and observability.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
5+ YOE5+ years AI/ML experience, 1+ year building agentic AI, strong Python, LangGraph/LangChain and LLM experience, prompt engineering, cloud AI platforms, APIs, CI/CD, enterprise deployment and leadership skills.
Python, LangGraph, LangChain, LLMs, GPT, Claude, Llama, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, APIs, CI/CD, Claude Code, Codex, Databricks, MLOps, LLMOps
UST: Global provider of digital transformation and IT services.
3+ YOERequires 3–5 years in ML or AI, 1+ year building agentic AI applications, strong Python, LLM and prompt engineering experience, LangGraph, cloud AI platforms, APIs, CI/CD, Git, and communication skills.
LangGraph, LangChain, GPT, Claude, LLaMA, Jenkins, Git, Jira, Confluence, Claude Code, Codex, Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, Databricks, REST APIs, WebSockets, Python, MLOps, LLMOps, AI Governance
Engagement Tech Lead, Developer Relations - AI Agents
Santa Clara, California, United States
$224k-$431k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOEBS/MS/PhD in CS/Engineering or equivalent, 12+ years experience, expertise in AgentOps/GenAIOps/LLMOps/generative and agentic AI, strong leadership, communication, and ecosystem development skills.
Workato: Enterprise platform for automating business workflows and integrating applications.
5+ YOE5+ years professional software development; Bachelor’s or Master’s in CS/Engineering/Information Systems or equivalent experience; proficient in Go, Python, Ruby, or JavaScript; experience with LLMs and deploying ML services.
Pacific Life: Provides life insurance, annuities, and investment products for financial security.
20+ YOE8+ MgmtRequires 20+ years of engineering experience, including 8+ years leading Director-level teams, production AI/ML delivery, cloud-native architecture, MLOps/LLMOps, AI governance, security, privacy, and compliance expertise.