262 engineer agentic ai systems jobs at 163 companies in Vallejo, CA
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Principal Engineer, Agentic AI Systems
Palo Alto, California, United States
$400k-$550k/yrOnsiteFull Time
Inflection AI: Develops human-centered personal AI and large language models.
10+ YOE10+ years engineering experience (3+ years at staff/principal scope), 2+ years building production LLM/agent systems, strong Python or TypeScript, backend fundamentals, retrieval/RAG and tool-calling experience, bachelor’s degree or equivalent.
Benchling: Cloud platform for biotechnology research and development.
7+ YOE7+ years software engineering with production systems; experience with LLMs/agentic patterns; security fundamentals; multi-language stack; enterprise SaaS; strong communication and leadership.
EchoStarNasdaq: SATS: Global provider of satellite solutions and wireless communications services.
1+ YOEBachelor's in CS/DS/AI, 1+ years software or data science experience, strong Python and FastAPI exposure, familiarity with LLM systems, containerization, CI/CD, cloud platforms, and multi-agent orchestration.
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.
Mountain View or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
7+ YOERequires 7+ years in full-stack AI/ML engineering and computer science, 5+ years in distributed systems, 4+ years deploying AI/ML software to cloud, and a bachelor's degree or equivalent experience.
Dialpad: AI-powered cloud communication and contact center software platform.
12+ YOE5+ Mgmt12+ years engineering experience with 5+ years leadership; experience scaling distributed systems, agentic AI/LLM platforms, and production infrastructure; strong people leadership and strategic planning; bachelor's degree or equivalent.
ExelixisNASDAQ: EXEL: Discovers and commercializes innovative medicines for cancer treatment.
5+ YOEBachelor's plus 13 years or master's plus 11 years of related experience, including 5+ years in AI or cloud platform engineering and leadership of cross-functional teams; expertise in AI platforms, cloud systems, security, and responsible AI.
EquinixNASDAQ: EQIX: Global provider of data center and digital infrastructure services.
7+ YOERequires 7+ years of software engineering experience, 2+ years in platform, developer tooling, or AI/ML systems, production agentic systems experience, backend programming, cloud-native operations, and a bachelor's degree or equivalent.
Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
New York City or San Francisco or San Jose or Cambridge or McLean
$197k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor's degree plus 4 years or master's degree plus 2 years in AI/ML development; 4 years programming experience; expertise in scalable AI systems, cloud platforms, and optimization.
Mira Mace: AI-powered healthcare advocacy and navigation for Medicare beneficiaries.
Experience building and shipping LLM-powered systems or agents, strong AI fluency (prompting, retrieval, evaluation), production monitoring, and solid software engineering practices.
Magic Patterns: AI-powered platform for rapid software prototyping and design.
Experience using AI tools, working with AI models or agents, and building evaluation systems, post-training, or context engineering; strong first-principles problem-solving skills.
Waymo: Autonomous driving technology for ride-hailing and logistics.
7+ YOE7+ years software engineering experience; expertise in AI/ML and agentic systems; proven ability to design, build, evaluate, and deploy production agent-based AI solutions; BS in CS or equivalent; strong communication.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years building production-grade generative AI/LLM systems, multi-agent orchestration with LangGraph, RAG, Python backend development, and AI governance for enterprise deployments.
Founding Senior Applied AI Engineer (Agentic Systems)
San Francisco, California, United States
$185k-$210k/yrHybridFull Time
Puntt: An early-stage building agentic, compliance-focused AI systems for enterprise workflows.
5+ YOE5+ years shipping production systems, 1–2+ years building LLM-driven applications, expert Python, experience with RAG/vector search/embeddings/structured retrieval, systems and distributed-systems mindset.
5+ YOE5+ yrs software engineering; 2+ yrs ML model training/deploy; NLP/LLMs; data pipelines; model optimizations; agentic AI systems; end-to-end ownership
NLP, LLMs, data pipelines, quantization, distillation, LoRA, pruning, agentic systems
American ExpressNYSE: AXP: Global financial services and credit card payment network.
8+ YOE8+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, cloud (AWS/GCP), Kubernetes, and agentic AI tooling; product orientation and ownership.
Clera: AI talent agent matching professionals with high-growth startup roles
8+ YOE8+ years engineering experience with production LLM systems, building evals and observability, experience with LLM agents and data-residency/SOC2/GDPR constraints, strong communication and product-engineer instincts.