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Remote Generative Ai Sales Jobs in California (NOW HIRING)

NYFA

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Instructors guide students through the practical and creative applications of generative AI tools ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Innowhyte Inc

Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and annotate datasets for training and evaluation. Optimize models for performance ...

TEKsystems

AI Engineer

San Diego, CA · Remote

$50 - $58/hr

Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology ...

New

Twenty80 LLC

AI Engineer

San Mateo, CA · Remote

Flexible remote work environment * Professional development and career growth opportunities * Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments

ResourceWell

Field CTO - Bay Area or Remote

San Jose, CA · On-site +1

$200K - $250K/yr

Define and execute a roadmap for Generative AI solutions aligned with business objectives. Collaborate with cross-functional teams, including product management, engineering, marketing, and sales, to ...

Cypress HCM

Digital Experience Technologist

San Jose, CA · Remote

$85.83 - $114.44/hr

Open to remote candidates. PST Time zone preferred. * Duration: 10/06/2025 to 1/23/2026 * Team ... Investigate and employ new generative AI tools to construct content, workflows, and demos that ...

Delan Associates, Inc

Salesforce AI Developer

San Francisco, CA · On-site +1

$65.50 - $86.50/hr

... LWC) Generative AI (GenAI) Prompt Engineering AI Agent Development REST APIs & Integrations SOQL/SOSL Salesforce Sales Cloud / Service Cloud Git, CI/CD Salesforce Security & Sharing Agile/Scrum ...

Together AI

Solutions Architect

San Francisco, CA · On-site +1

$180/hr

... Generative AI applications. Solutions Architects at Together are trusted advisors to our customers ... As key contributors to our sales organization, Solution Engineers add tremendous value to the ...

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All JobsGenerative Ai Sales JobsRemote Generative Ai Sales JobsRemote Generative Ai Sales Jobs in California

Remote Generative Ai Sales information

What is a remote generative AI sales?

A Remote Generative AI Sales job involves selling generative artificial intelligence solutions, such as AI-powered content creation tools or language models, to businesses or clients. Professionals in this role work from home or another remote location and are responsible for identifying potential customers, explaining the benefits of generative AI products, and closing sales deals. They need a good understanding of generative AI technologies, strong communication skills, and experience in sales. This role often requires collaborating with technical teams to ensure customer needs are met and keeping up with the latest AI trends to effectively pitch products.

What are the key skills and qualifications needed to thrive as a remote generative AI sales professional?

To thrive as a Remote Generative AI Sales professional, you need a solid understanding of AI concepts, proven sales experience, and a track record of meeting targets, often supported by a bachelor's degree in business, technology, or a related field. Familiarity with CRM tools like Salesforce, AI product platforms, and virtual communication systems is typically required. Excellent communication, relationship-building, and self-motivation are crucial soft skills for engaging clients and managing remote work. These competencies ensure you can effectively educate clients, close deals, and drive revenue in the fast-evolving AI market.

What are some common challenges faced by professionals in remote generative AI sales, and how can they be addressed?

One of the main challenges in Remote Generative AI Sales is effectively communicating complex technical concepts to clients who may not have a deep technical background. Building trust and credibility remotely requires clear explanations, regular follow-ups, and tailored demonstrations that address specific client needs. Additionally, coordinating with technical teams and product experts across different time zones can be challenging, so strong organizational and communication skills are essential. Staying current with rapidly evolving AI advancements is also crucial for success in this role.

What is the difference between Remote Generative Ai Sales vs Remote AI Sales?

AspectRemote Generative Ai SalesRemote AI Sales
Required CredentialsSales experience, knowledge of AI/Generative AISales experience, general AI knowledge
Work EnvironmentRemote, tech-focused companiesRemote, tech or software companies
Industry UsagePrimarily in AI and tech sectors developing Generative AI productsBroader AI industry, including various AI solutions

Remote Generative Ai Sales focuses on selling products related to Generative AI technologies, requiring specific AI knowledge. Remote AI Sales covers a wider range of AI solutions, with a broader industry application. Both roles are remote, but Generative AI Sales emphasizes specialized AI expertise and target markets.

What are the most commonly searched types of Generative Ai Sales jobs in California?

The most popular types of Generative Ai Sales jobs in California are:

What are popular job titles related to Remote Generative Ai Sales jobs in California?

For Remote Generative Ai Sales jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Sales jobs in California look for?

The top searched job categories for Remote Generative Ai Sales jobs in California are:

What cities in California are hiring for Remote Generative Ai Sales jobs?

Cities in California with the most Remote Generative Ai Sales job openings:

Remote Generative Ai Sales jobs near you

Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote

DivIHN

San Diego, CA • On-site, Remote

$110K - $152K/yr

Contractor

Posted 5 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Justeen at (224)-394-4903
Title: Senior Generative AI Engineer (Google Gemini & Vertex AI) - Remote
Duration: 6 Months with possible for extension
Location: Remote
Candidates must be available to work West Coast (PST) hours.
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Day to Day Responsibilities
  • RAG & Prompt Engineering: Craft and refine effective prompts for RAG, grounding, and context tuning to achieve optimal AI performance in product development.
  • High-Performance API Engineering: Develop asynchronous microservices (FastAPI) using Server-Sent Events (SSE) or WebSockets to stream real-time LLM responses to front-end UIs without backend timeouts.
  • Vector Database Infrastructure: Design, develop, and implement robust Vector Databases using LLMs and modern retrieval technologies to capture information from diverse engineering sources (PDFs, design docs, regulatory guidelines).
  • Data Extraction & Structuring Pipelines: Build and optimize pipelines to extract and structure multi-modal data (tables, text, images) from unstructured documents for LLM training, grounding, and runtime query execution.
  • LLM Fine-Tuning & Training: Fine-tune and train generative AI models using client's engineering data and domain knowledge to create high-accuracy, domain-specific models.
  • GenAI Application & Tool Development: Design and implement scalable backend APIs (FastAPI/REST) and UI integration interfaces so internal engineers can query knowledge bases and analyze data.
  • Automated Requirements Generation: Develop backend functionalities to automatically generate technical requirements from design documents, user stories, and system specification files.
  • Documentation & Knowledge Transfer: Thoroughly document architecture, code, REST endpoints, and model training procedures to enable seamless knowledge transfer to client's internal teams.
  • Cross-Functional Collaboration: Partner closely with Subject Matter Experts (SMEs), System Engineers, and V&V Test teams to optimize AI-powered workflows.
  • AI Guardrails, MLOps & Cost Governance: Implement hallucination checks, PII masking, and guardrails (e.g., NeMo Guardrails) for medical device context. Track token usage, latency, and costs using LangSmith or Vertex AI monitoring.
  • Collaborate closely with engineers and cross-functional teams to design and develop AI solutions.
  • Develop and integrate Generative AI applications and APIs.
  • Work with large datasets, document processing, and data pipelines.
  • Participate in problem-solving, solution design, and technical discussions.
  • Communicate effectively with team members and stakeholders.

Must-Have Qualifications :
  • Relevant Experience & STEM Foundation: 4+ years of professional software/ML engineering experience, with a dedicated AI/ML focus in the last 1-2 years.
  • Google Gemini / Vertex AI (Non-negotiable): Hands-on experience with the Gemini model family and Vertex AI, including deployment, grounding, and integration into production AI services. Hands-on experience with containerization (Docker) and deploying services via Cloud Run or GKE (Kubernetes).
  • Languages & AI Libraries: Proficiency in Python and modern ML/AI frameworks (PyTorch, LangChain, LangSmith) for building autonomous LLM agents, tools, and RAG pipelines.
  • Agent Building & Tool Calling: Proven experience building AI/LLM agents and tool-calling systems in Python against unstructured, multi-source data.
  • Context Engineering & RAG: Expertise in RAG pipelines, prompt engineering, context tuning, grounding, and Vector Databases (e.g., Milvus, Postgres/Pgvector). Clear understanding of advanced RAG architecture including Hybrid Search (Vector + Keyword), Re-ranking models, and semantic caching.
  • Unstructured Data Handling (Non-negotiable): Demonstrated ability to ingest, clean, extract, and structure text, tables, and images from unstructured documents (PDFs, design docs, regulatory files) for LLM training and usage.

Role Information
  • Generative AI Engineer role.
  • Experience in API development.
  • Hands-on experience with Google Gemini and Vertex AI.
  • Knowledge of Agentic AI frameworks and architectures.
  • Strong Python development skills, including experience with LangChain and related AI frameworks.
  • Open to candidates from any industry domain.

Required Skills :
  1. Full Stack Engineering - Building applications for AI-powered services (Backend APIs + Front-End Integration).
  2. Generative AI & LLM Platforms - 2+ years building RAG pipelines & LLM apps using Python, LangChain, and LangSmith.
  3. Agent Building & Unstructured Data - Building AI agents/tool-calling systems in Python and handling unstructured, multi-source data extraction (PDFs, docs).
  4. Strong hands-on experience in Artificial Intelligence and Generative AI
  5. Python programming expertise.
  6. Experience with LangChain and Agentic AI frameworks.
  7. Understanding data handling to pull data from PDFs, design docs, regulatory files

Preferred Skills :
  1. Direct experience architecting and serving custom REST APIs.
  2. Experience in regulated / compliance-sensitive domains (e.g., healthcare / medical device guidelines like FDA, ISO 13485).
  3. Experience integrating multiple LLM APIs beyond a single provider (OpenAI, Bedrock, Claude, or similar).

Additional Preferred Skills
  • Direct experience designing and deploying high-throughput REST APIs (e.g., FastAPI/Flask).
  • Familiarity with medical device development regulations and compliance (e.g., FDA guidelines, ISO 13485).
  • Experience integrating multiple LLM APIs beyond a single vendor (e.g., OpenAI, AWS Bedrock, Anthropic Claude).
  • Front-end development/integration experience for UI design (e.g., Streamlit, Gradio, React/Next.js integration).

Education Requirements:
  • Minimum Bachelors in Software/Computer/IT/Systems/Biomedical Engineering + 3 years

Required Testing:
  • Technical evaluation of Python proficiency, RAG architecture concepts, and API/Agent design.

Software Skills Required:
  • Languages: Python (AsyncIO, OOP), SQL.
  • AI & Agent Frameworks: PyTorch, LangChain, LangSmith, Vertex AI SDK.
  • API & Web Frameworks: FastAPI, Flask, REST APIs, Server-Sent Events (SSE).
  • Databases & Search: Milvus, Pgvector, Qdrant, Redis (caching).
  • Front-End Integration: Streamlit, Gradio, basic React/Next.js.
  • Testing & Guardrails: pytest, JUnit, LangSmith evaluation, NeMo Guardrails.
  • DevOps & Cloud: Docker, GCP (Vertex AI, Cloud Run, GKE), Git.

Required Certifications:
  • Professional certifications specific to AI/ML (e.g., Certified AI Professional / CAIP, Google Cloud ML Engineer) considered a plus.

Interview
  • Number of Interviews: 1,
  • Web Conference (Zoom/ TEAMs)
  • Live problem-solving and technical exercise during the interview.

Apply