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Ai In Jobs in California (NOW HIRING)

Staff Software Engineer, Applied AI

Burlingame, CA · On-site

$200K - $275K/yr

  • Medical

  • Dental

  • Vision

SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the ...

Software Engineer - AI Enablement

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Scale GP is Scale's enterprise Generative AI platform-APIs and infrastructure for knowledge ... We don't build in a vacuum. You'll use our own platform to solve real business problems internally ...

New

AI Transformation Leader

Palo Alto, CA · On-site

  • Medical

  • Dental

  • Vision

Join us in shaping the future of healthcare. Job Summary: The AI Transformation Leader will play a pivotal role in managing and delivering value to our healthcare clients. This individual will be ...

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Demonstrate industry applications of generative AI in media and storytelling. * Support student understanding of professional, ethical, and legal considerations surrounding AI-generated content.

Cinematic AI Specialist

Burbank, CA · On-site

$55 - $75/hr

Demonstrate industry applications of generative AI in media and storytelling. * Support student understanding of professional, ethical, and legal considerations surrounding AI-generated content.

Solutions Attorney

San Mateo, CA · On-site +1

$150K - $240K/yr

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment-when ...

Solutions Advisor, Legal Ops

San Mateo, CA · On-site +1

$150K - $200K/yr

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment-when ...

Acra Lending is a company that specializes in alternative income loan products, and they are seeking an experienced AI Engineer focused on Agentic AI and Workflow Automation. This role will be ...

About RocketRide.ai RocketRide is an SF-based AI startup pushing the boundaries of open source ... Strong, demonstrable coding skills in Python and C++, with clean abstractions and a bias toward ...

Omi is a wearable AI device that records what you hear, transcribes conversations, summarizes key points, and proactively assists with tasks. Whether you're in back-to-back meetings, brainstorming ...

Nace.ai is seeking an AI Researcher specializing in Language Models to join their dynamic team. The role involves advancing large language models and vision-language models by developing novel ...

The ideal candidate combines expertise in LLMs, agentic architectures, orchestration frameworks ... Develop AI copilots and internal assistants for underwriting, loan processing, sales, operations ...

Showing results 41-60

Ai In information

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What cities in California are hiring for Ai In jobs?

Cities in California with the most Ai In job openings:

Infographic showing various Ai In job openings in California as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Staff Software Engineer, Applied AI

SuperDial

Burlingame, CA • On-site

$200K - $275K/yr

Full-time

Medical, Dental, Vision

Re-posted 28 days ago


Job description

SuperDial is seeking a Staff Software Engineer, Applied AI to build and scale the backend systems that power LLM applications in healthcare. This role is ideal for an engineer who thrives at the intersection of backend architecture and applied AI, designing APIs, pipelines, and infrastructure that make LLMs reliable, secure, and cost-efficient in production. If you want to push LLMs beyond demos into mission-critical healthcare workflows, we'd love to hear from you.
About the Role:
  • Backend for LLMs - Architect and implement scalable, low-latency APIs and services that wrap, orchestrate, and optimize LLMs for healthcare use cases.
  • Data & Retrieval Pipelines - Build ingestion, preprocessing, and retrieval-augmented generation (RAG) pipelines to ground LLMs in clinical and revenue-cycle data.
  • LLMOps & Observability - Design systems for model monitoring, evaluation, cost tracking, and guardrails, ensuring reliability and responsible use.
  • Performance & Optimization - Engineer solutions for caching, batching, load balancing, and scaling LLM workloads across cloud and containerized environments.
  • Security & Compliance - Implement HIPAA-ready infrastructure, data governance, and auditability for LLM-powered applications.
  • Cross-Functional Collaboration - Partner with product, ML engineers, and healthcare experts to translate business workflows into robust backend systems.
  • Technical Leadership - Drive end-to-end delivery of LLM backend projects, establish engineering best practices, and mentor peers in LLM system design.

About You:
  • 5+ years of backend or full-stack software engineering experience, with 3+ years working on ML/LLM-enabled applications.
  • Strong coding skills in Python (and ideally one statically typed language such as Go, Java, or TypeScript).
  • Experience with LLM integration frameworks (Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.).
  • Deep knowledge of distributed systems, service-oriented architecture, and building APIs at scale.
  • Cloud-native expertise: AWS/GCP/Azure, Kubernetes, Docker, Terraform, etc.
  • Familiarity with MLOps/LLMOps practices: CI/CD for models, evaluation harnesses, monitoring, and reproducibility.
  • Excellent system design skills and the ability to align technical architecture with product goals.

Preferred Qualifications:
  • Experience applying LLMs in healthcare or other regulated industries (FHIR, HL7, HIPAA).
  • Hands-on experience with RAG pipelines, vector databases, and structured-output orchestration.
  • Background in enterprise SaaS or mission-critical platforms where uptime, latency, and scale matter.
  • Knowledge of responsible AI, safety, and privacy-preserving ML techniques.
What's in it for you?
  • The opportunity to apply cutting-edge AI to one of the world's most important industries.
  • A leadership role with ownership over core ML/LLM systems and influence on technical direction.
  • Competitive salary, equity options, and benefits, including health, dental, and vision coverage.
Who We Are
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare.
Compensation: The base salary for this role ranges from $200,000 to $275,000, depending on experience and qualifications. We also offer equity and benefits as part of our total compensation package.