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Remote Ai Assistant Jobs in California (NOW HIRING)

AI Engineer, Ecosystem

San Francisco, CA · On-site +1

$171K - $240K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ... AI assistant ecosystems. * Design and maintain secure, auditable integration patterns, including ...

... AI Assistant (now in beta) with deeper native integration into the Unity Hub on the way, new ... Mountain View, SF/Bay: $200,400 - $260,500 Bellevue, Seattle, NYC, Remote CA: $178,300 - $231,800 ...

Remote with periodic travel) Employment Type: Full-Time About SAI Group SAI Group is a private ... JazzX is building AI products that automate and assist U.S. residential mortgage origination and ...

Annotator

San Francisco, CA · On-site +1

$25 - $30/hr

From advanced tools for contract review and matter management to a legal AI assistant that can ... The pay range for this role is: 25 - 30 USD per hour (Remote)

$40K - $50K/yr

... remote talent supercharged by AI so they can scale without scaling headcount. From sales and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

$1.0K - $1.8K/mo

Hold early discovery conversations to understand the prospect's hiring needs, pain points, urgency, and openness to remote talent or AI-enabled workforce solutions. * Communicate what Wing Assistant ...

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Remote Ai Assistant information

What is the difference between Remote Ai Assistant vs Virtual Customer Support Agent?

AspectRemote Ai AssistantVirtual Customer Support Agent
CredentialsBasic technical skills, familiarity with AI toolsCustomer service experience, communication skills
Work EnvironmentRemote, often AI-driven platformsRemote, customer interaction platforms
Industry UsageTech, AI, automation sectorsRetail, telecom, service industries
Job FocusManaging AI tools, automating tasksHandling customer inquiries, support

While both roles are remote and involve communication, a Remote Ai Assistant primarily manages AI systems and automates tasks, whereas a Virtual Customer Support Agent focuses on direct customer interactions. The roles differ in credentials, work environment, and industry focus, catering to different business needs.

What are the most commonly searched types of Remote Ai jobs in California? The most popular types of Remote Ai jobs in California are:
What are popular job titles related to Remote Ai Assistant jobs in California? For Remote Ai Assistant jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Ai Assistant jobs in California look for? The top searched job categories for Remote Ai Assistant jobs in California are:
What cities in California are hiring for Remote Ai Assistant jobs? Cities in California with the most Remote Ai Assistant job openings:

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 2 days ago


Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)