273 llm engineer jobs at 79 companies in Manteca, CA
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Senior/Staff LLM Application Engineer - Data Application
San Jose, California, United States
$213k-$450k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Experience with data products and LLM application development, strong coding skills in Python, knowledge of prompt engineering, retrieval and benchmarking, and ability to analyze user feedback.
LLM AIOps Development Engineer - Data Center Networking
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Deep data-center networking and Linux networking knowledge; proficiency in Golang or Python; experience with telemetry, observability, big-data pipelines, and LLM/AIOps approaches; familiarity with protocols like EVPN/VXLAN and BGP/OSPF.
Eightfold: Global AI-native talent intelligence platform provider.
6+ YOELead AI/ML engineer with 6+ years in ML, Gen AI, LLMs; strong Python, TensorFlow/PyTorch; AWS, Docker, Kubernetes; expert in agentic AI and distributed systems.
Vancouver or San Jose or Durham or Mexico City or Bengaluru or Pune or Hoofddorp or Belgrade or Barcelona or Singapore or Sydney or Tokyo
$129k-$193k/yrHybridFull Time
NutanixNASDAQ: NTNX: Sells cloud software and hyperconverged infrastructure for enterprises.
2+ YOE2–5 years product development experience; strong programming fundamentals; experience with Docker, Kubernetes, Go, Python, CI/CD, distributed systems, datacenter design, OS internals, and high-performance system tuning; Bachelor's/Masters in CS or equivalent.
GatherUp: Software platform for customer review and reputation management.
3+ YOE3+ years in GTM engineering/rev ops/growth engineering; coding in Python, JavaScript, or SQL; experience with AI voice tools, Clay, ZoomInfo, Apollo, n8n, Zapier, Salesforce/HubSpot; building agentic AI/LLM workflows; strong analytical and cross-functional communication skills.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years at the intersection of design and engineering; hands-on experience building and shipping LLM-powered apps, internal tools, and high-fidelity prototypes; strong craft, collaboration, and product judgment.
Micron TechnologyNASDAQ: MU: Designs and manufactures semiconductor memory and data storage solutions.
BS in EE/CE/CS, hands-on experience with AI/ML/LLMs and automation, strong Python skills, knowledge of CMOS/custom layout and verification; familiarity with LLM integration and prompt engineering.
Etched: Designs specialized AI chips optimized for transformer architectures.
Experience building and shipping LLM-based agents and AI tooling, strong Python proficiency, agent orchestration and tool integration, eval-driven approach, ability to work across stacks and embed with hardware teams.
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.
Imagry: Mapless autonomous driving software for vehicle manufacturers.
3+ YOEM.Sc. (or equivalent) in a quantitative field, 3+ years algorithm engineering experience, expertise in motion planning/decision making/optimization/Reinforcement Learning or LLM fine-tuning, and proficiency in Python and C++.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
5+ YOE5+ years Java/Python backend development, 5+ years designing REST APIs/microservices, 2+ years building or integrating AI/LLM applications, experience with SQL/NoSQL and cloud platforms, familiarity with JavaScript/React/Node.js, BS in a technical discipline.
CelesticaNYSE: CLS: Provides design, manufacturing, and supply chain solutions for electronics.
15+ YOELead design and scaling of test infrastructure, CI/CD, and AI/LLM-driven developer tools; 15+ years engineering experience; Master’s in CS/CE or equivalent; proficiency in Python, Bash, CI/CD, Docker, Jenkins, and networking domains.
Lead Solutions Engineer– Back Office Transformation
San Jose, California, United States
$115k-$213k/yrOnsiteFull Time
Cadence Design SystemsNASDAQ: CDNS: Develops computational software and hardware for electronic system design.
3+ YOEBachelor's in CS/Engineering or equivalent,3+ years experience,strong Python,experience with LLMs/Generative AI,APIs and prototype-to-production delivery,excellent communication and cross-functional collaboration.
Python, Large Language Models, Generative AI, APIs, MCP
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Build and deploy AI prototypes integrating LLMs and agents with engineering tools; strong Python and one systems language; experience with ML-enabled applications and debugging; clear communication skills.
OKX: Global cryptocurrency exchange and Web3 digital wallet developer.
Significant ML engineering experience producing production models and LLM agents; strong Python and ML framework experience; model explainability and reliability; experience with risk or high-stakes domains preferred.
Ridgeline: Cloud-native platform for investment management operations.
8+ YOE8+ years in application, cloud, or security-focused software engineering; demonstrated depth in secure code review, cloud security or security-focused development; hands-on AI/LLM experience; strong communication and architectural judgment.
Python, Kotlin, TypeScript, AWS, Terraform, Claude Code, Cursor, MCP
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOE7+ years ML engineering experience (10+ for principal), strong ML/deep learning background, experience with LLMs and production model hosting, cloud experience (AWS/GCP), leadership/mentoring experience, Bachelor's in CS/engineering/physics/math required (advanced degrees preferred).
8+ YOEProven experience architecting and shipping large-scale AI/LLM infrastructure; deep expertise in distributed LLM training/inference, systems design, and cross-functional technical leadership.