2,536 ai engineer jobs at 857 companies in Fairfield, CA
1mo
Save
Mark Applied
Hide
1mo
Senior AI Engineer
San Francisco or New York City or Vancouver or Amsterdam or London or Paris or Singapore or Tokyo
$190k-$316k/yrHybridFull Time
AmplitudeNASDAQ: AMPL: Digital analytics platform for understanding and optimizing customer behavior.
3+ YOE3+ years software engineering experience with 2+ years building production LLM or applied AI systems; experience designing and scaling AI products, strong product sense, and collaboration skills.
Austin or Chicago or New York City or Salt Lake City or San Francisco or United States
$115k-$175k/yrRemoteFull Time
Gong: AI platform analyzing customer interactions to improve sales performance.
Background in software/data engineering or applied AI, experience shipping AI/LLM tools to production, systems thinking, API and workflow integration experience, strong independent delivery and stakeholder partnership skills.
CognizantNasdaq: CTSH: Provides IT consulting and digital business process services.
Bachelor's degree and strong experience designing AI solutions with RAG, vector databases, semantic search, LLMs, document intelligence, scalable AI systems, and cloud-based machine learning.
Retrieval-Augmented Generation (RAG), large language models (LLMs), vector databases, Microsoft Azure, Azure AI services, Azure OpenAI, Azure Machine Learning, HIPAA, ICD
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.
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOEBachelor's degree in CS/AI or related field; at least 2 years in advanced R&D engineering for AI/HCI/HRI; 3 years of rapid prototyping experience.
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.
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.
Abby Care: Trains and pays family members to provide home care.
2+ YOE2+ years professional software/ML or applied AI experience, strong software engineering, experience with language models/AI APIs, backend and data pipeline skills, ability to evaluate models and work with healthcare workflows.
McLean or San Francisco or San Jose or Cambridge or New York City
$269k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOEBachelor's plus 8 years or master's plus 6 years in AI/ML development; 8 years programming in Python, Go, Scala, or Java; experience with scalable cloud AI systems and technical leadership.
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.
DataDirect Networks: High-performance storage and data management for AI and HPC.
Experienced engineer with production AI systems ownership, deep systems-level expertise in inference performance, and ability to optimize compute, memory, storage, and serving architecture.
Corridor: Secures software codebases using AI-powered autonomous vulnerability detection.
3+ YOE3+ years engineering or ML experience, production shipping experience, hands-on LLM work and evaluation, product-minded and self-directed, experience improving AI systems end-to-end.
AxonNASDAQ: AXON: Develops weapons and software for law enforcement and safety.
4+ YOERequires 4+ years in platform, DevOps, infrastructure, internal tools, automation, or software engineering; cloud infrastructure, CI/CD, infrastructure-as-code, production support, and AI application knowledge.
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
OpenAI Foundation: A nonprofit organization funding research to ensure AI benefits humanity.
5+ YOE5+ years software engineering experience; strong coding in Python, Java, C++, TypeScript/JavaScript; experience with AI/LLM tools, prototyping, system design, and cross‑stakeholder communication.
Cargomatic: Digital marketplace connecting shippers with local trucking capacity.
3+ YOE3+ years software engineering with focus on AI/ML or automation; hands-on AI-powered applications; experience with agentic AI concepts, LLMs, and modern AI frameworks; cloud infrastructure (AWS); backend (Node.js); frontend (React).
Mondrio: AI-native platform for agentic pricing and revenue management.
8+ YOE8+ years engineering experience with production LLMs, built evals/observability, shipped LLM features, strong communication, product-engineer instincts, US work authorization required.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
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.