221 ai deployment engineer jobs at 129 companies in Berkeley, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
OpenAI: Develops artificial intelligence models and generative AI software services.
5+ YOE5+ years in technical consulting, solutions engineering, security architecture or deployment engineering; deep cybersecurity domain expertise; hands-on experience with APIs, Python or JavaScript, agents, CI/CD and prototype-to-production deployments; strong communication.
San Francisco or New York City or Chicago or Austin
$146k-$185k/yrHybridFull Time
Writer: Platform for building and deploying enterprise generative AI agents.
5+ YOE5+ years in technical SaaS roles, 3+ years in solutions architecture/technical consulting, strong Python and API skills, experience delivering complex AI solutions for Fortune 500, excellent communication.
Hippocratic AI: Develops safety-focused generative AI for autonomous clinical healthcare conversations.
0+ YOEBachelor's in engineering/CS from a top university, 0–2+ years software engineering experience with production AI deployments, experience with LLMs/RAG, Python, cloud (AWS/GCP/Azure), EHR/FHIR/HL7 integrations, strong communication skills.
LLMs, RAG, Python, APIs, AWS, GCP, Azure, FHIR, HL7, EHR
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years software engineering/solutions experience; hands-on coding, system design, AI/GenAI, Python and SQL proficiency; customer-facing consulting and strong communication skills.
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or computer science degree, 2+ years in technical client-facing/implementation roles, experience in data modeling and AI/ML, proficiency with formulas and structured modeling, programming (Python/SQL), and APIs/data pipelines.
Champ AI - Deployment Architect / Forward Deployed Engineer
San Francisco, California, United States
OnsiteFull Time
YieldNest: Liquid restaking protocol for risk-adjusted DeFi yields.
2+ YOE1–2 years in a customer-facing, deal-carrying technical role; experience leading pilots/deals from first call to production; familiarity with AI-native environments.
Sonatus: Develops software platforms for AI-enabled software-defined vehicles.
10+ YOE10+ years ML engineering with 3+ years in Edge AI/embedded systems, Bachelor’s in CS/EE/Software Engineering, expert Python, C++14/17, PyTorch/TensorFlow, edge deployment and model optimization experience.
Airwallex: Global financial platform for business payments and money management.
5+ YOE5+ years in applied AI/ML engineering with production deployments; strong Python; experience with ML frameworks (PyTorch, JAX, TensorFlow); track record deploying AI agents or orchestration systems; knowledge of monitoring and iteration in production AI systems.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
10+ YOE10+ years network engineering; hands-on routing/switching/optical transport; data center experience; bachelor's in CS/CE or equivalent; vendor interactions; knowledge of data center design and operations; proven deployment/migration leadership.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
0+ YOEIntern to support optimization and deployment of multimodal models onto vehicle-grade compute; strong CS/EE/ robotics background; hands-on C++/Python; DL frameworks; model optimization and edge deployment.
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.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
8+ YOE8+ years applied ML/AI engineering; 3+ years delivering production AI systems; MS in CS/Robotics/EE or related; PhD preferred; strong multimodal/3D vision and deployable inference pipelines; strong Python and ML library skills.
Applied Business Software: Provides loan origination and servicing software for private lenders.
2+ YOE2–3 years of post-graduate experience building production AI systems with LLMs; hands-on with LangChain and RAG; API/data pipelines; CI/CD; cloud deployment; prompt engineering.
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
5+ YOEMaster's+3yrs or Bachelor's+5yrs in engineering fields; 5+ years networking for accelerator systems, Ethernet and RDMA fabrics; experience with AI/HPC/cloud deployments; security screening required.
Vagaro: Cloud-based management platform for beauty and wellness businesses.
2+ YOE2+ years building LLM/LLM-based or generative AI applications; proficiency in Python and SQL; experience with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, ML model deployment, and collaboration with product teams.
3+ YOE3-6 years technical experience across software development, data engineering, and DevOps; production AI deployment experience; proficiency in Python; experience with data pipelines, APIs, cloud platforms, and CI/CD.