82 engineer agentic ai systems jobs at 28 companies in Pacific Grove, CA
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Senior Agentic AI Engineer
San Jose, California, United States
$152k-$265k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
Bachelor's in CS/Engineering, proven experience building agentic systems or developer-facing AI infrastructure, proficiency in TypeScript and Python, hands-on experience with Anthropic APIs/Claude, and platform/API design expertise.
San Francisco or McLean or Cambridge or San Jose or New York City
$294k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's or Master's in CS/Engineering/AI with 6–8+ years building and deploying scalable AI/ML systems; strong programming in Python/Go/Scala/Java and experience with agentic frameworks, cloud platforms, and LLMs.
Senior AI Platform & Agentic Infrastructure Engineer
San Jose, California, United States
$178k-$321k/yrOnsiteFull Time
OKX: Global cryptocurrency exchange and Web3 digital wallet developer.
7+ YOE7+ years building and operating resilient backend or platform systems; proven brownfield migrations; fluent Python, strong SQL, and TypeScript/Node or Go; cloud (AWS or GCP), Terraform, CI/CD, observability; data provenance, security, and agentic runtime engineering.
Claude, Anthropic, OpenAI, Google, Google Workspace, JIRA, Lark, Apps Script, Drive API, Docs API, Sheets API, Slides API, Claude Code, Claude Agent SDK, Terraform, Python, SQL, TypeScript, Node, Go, Model Context Protocol (MCP)
Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
San Jose, California, United States
$140k-$165k/yrOnsiteFull Time
SK hynix Memory Solutions AmericaKorea Exchange: 000660: Develops semiconductor controllers and firmware for enterprise data storage.
2+ YOE2+ years in AI/ML engineering with on-prem/private-cloud deployment, experience building agentic AI and RAG pipelines, model fine-tuning (LoRA/QLoRA), Python/Linux/Docker/Kubernetes proficiency, and familiarity with vector DBs and AI serving frameworks.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)
New York City or McLean or San Jose or Cambridge
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor's plus 4 years or master's plus 2 years in AI/ML development; 4 years programming; expertise in scalable cloud AI systems, optimization, and production deployment.
TeradataNew York Stock Exchange: TDC: Provides cloud data analytics and enterprise AI software platforms.
8+ YOERequires 8+ years in software engineering, production AI/ML systems, AI agents or LLM-driven systems, Python plus Java or Go, distributed systems, telemetry, observability, and AI workflow expertise.
Staff SW Systems Engineer -Agentic Product Engineer
Seattle or San Jose or Washington
HybridFull Time
Extreme NetworksNASDAQ: EXTR: Provides cloud-managed networking hardware and software solutions.
8+ YOE8+ years software engineering experience; proficiency in Python and TypeScript/JavaScript; CI/CD (GitHub Actions); cloud (AWS or Azure); production experience with AI coding agents and agent frameworks; familiarity with MCP, RAG, knowledge graphs, and vector databases.
Python, TypeScript, JavaScript, Claude Code, Copilot, Cursor, Anthropic SDK, Microsoft Agent Framework, LangGraph, Model Context Protocol (MCP), GitHub Actions, GitHub, Jira, Confluence, AWS, Azure, RAG, Knowledge Graphs, vector databases
15+ YOEBachelor's degree or equivalent and 15 years software engineering experience; senior technical leadership, large-scale distributed systems, architectural design, and experience with agentic AI and large-scale data platforms.
KlearNow.AI: AI platform for digital customs brokerage and logistics management.
4+ YOE4+ years software engineering and infrastructure experience, production LLM/agent experience, Python and TypeScript proficiency, Docker/Kubernetes, cloud/distributed systems, ability to work hybrid in San Jose and authorized to work in the U.S.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
2+ YOEBachelor's or master's in a technical field,2+ years software/AI engineering experience,proficiency in Python and systems languages,C/C++,experience with LLM agents,RAG pipelines,tool integrations,and production observability.
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)
San Jose or San Francisco or New York City or Cambridge or McLean
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
6+ YOEBachelor's plus 6 years or master's plus 4 years in AI/ML development; 6 years programming with Python, Go, Scala, or Java; cloud AI deployment and complex systems experience preferred.
AWS Ultraclusters, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, Python, Go, Scala, Java, Google Cloud, Microsoft Azure, C++, C#
F5NASDAQ: FFIV: Provides application delivery networking and multi-cloud security solutions.
8+ YOE8+ years AI/ML engineering experience building and deploying agentic AI systems; strong Python and TypeScript skills; hands-on with LangChain, LangGraph, CrewAI, LlamaIndex; MLOps and data ingestion experience; familiarity with security concepts.
Micron TechnologyNASDAQ: MU: Manufacturer of semiconductor memory and data storage products.
5+ YOEBachelor's degree or equivalent experience, 5+ years software development, 3+ years enterprise AI experience, and expertise in Python, APIs, LLMs, AI agents, multi-agent systems, HR technologies, and enterprise integrations.
Python, APIs, Workday, ServiceNow, Microsoft Copilot, Microsoft 365, Azure, Docker, RAG, CI/CD, DevOps, Large Language Models (LLMs)
Tessera Labs: Automates complex enterprise workflows with multi-agent AI systems.
3+ YOERequires 3+ years building production software, recent LLM systems experience, shipped agentic systems, retrieval and evaluation expertise, traditional ML experience, strong Python, and TypeScript proficiency.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
4+ YOEMaster's or PhD in a quantitative field, 4+ years building production ML/AI systems (1–2 years with generative AI/LLMs), production experience with agentic frameworks, Kubernetes and CI/CD, Python proficiency, and strong ML/system design skills.
BroadcomNASDAQ: AVGO: Designs and sells semiconductors and infrastructure software to enterprises.
8+ YOEBachelor's in CS/Applied Math or related, 8+ years in AI/ML system development and deployment, experience integrating commercial AI/LLM tools and agents, proficiency with VLSI design flows, strong collaboration and pragmatic delivery skills.
Large Language Model (LLM) agents, MCP protocol, VLSI
TikTok: Global short-form video hosting and social media platform.
1+ YOEMS or above in CS/AI,1+ year software engineering experience,deep knowledge of AI Agent architectures,experience with Agent frameworks and RAG,strong system design and communication skills.
3+ YOERequires 3–5 years in IT or systems administration, 1–3 years with AI models or agent development, enterprise AI deployment, networking and cybersecurity, virtualization or containers, cloud platforms, and governance.
Claude Enterprise, ChatGPT Enterprise, ESX, HyperV, Proxmox, Docker, Kubernetes, AWS, Azure, GCP, LangChain, LangGraph, AutoGen, Ollama, OpenWebUI, Microsoft Azure AI Fundamentals (AI-901)
DanaherNYSE: DHR: Develops scientific instruments and diagnostic tools for healthcare markets.
7+ YOEBachelor’s or master’s degree in computer science, software engineering, or related field; 7+ years building distributed backend systems and APIs; experience with event-driven architectures, microservices, cloud platforms, LLM applications, and multi-agent systems.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
4+ YOEMaster's degree (or PhD) in a quantitative field, 4–6 years building production ML/AI systems with 1–2 years in generative AI; hands-on experience with LangGraph/LangChain, LLM integrations, Python, Kubernetes, CI/CD, containerization, and observability.