2

Remote Ai Prompt Engineer Jobs in California (NOW HIRING)

Senior Prompt Engineering Engineer

San Francisco, CA ยท On-site +1

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

AI Lead (SAP Background Required)

Torrance, CA ยท On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

Own evaluation & reliability -from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies. * Mentor & grow a cohort of AI engineers; run design reviews, uphold ...

Senior Software Engineer, AI Growth

San Francisco, CA ยท On-site +1

$144K - $190K/yr

Sanity MCP Server - our remote MCP server, now generally available and listed as one of eight ... Apply prompt engineering craft - diagnose why models fail, steer them effectively, and build ...

next page

Showing results 1-20

Remote Ai Prompt Engineer information

See California salary details

$25

$52

$75

How much do remote ai prompt engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote ai prompt engineer in California is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer job?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What are the key skills and qualifications needed to thrive in the Remote Ai Prompt Engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

What does a typical day look like for a Remote AI Prompt Engineer?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are the most commonly searched types of Ai Prompt Engineer jobs in California? The most popular types of Ai Prompt Engineer jobs in California are:
What job categories do people searching Remote Ai Prompt Engineer jobs in California look for? The top searched job categories for Remote Ai Prompt Engineer jobs in California are:
What cities in California are hiring for Remote Ai Prompt Engineer jobs? Cities in California with the most Remote Ai Prompt Engineer job openings:
Infographic showing various Remote Ai Prompt Engineer job openings in California as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $110,091 per year, or $52.9 per hour.

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA โ€ข Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 12 days ago


Job description

No subs- No sponsorship

Remote

AI Engineer (Midโ€“Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed โ€” and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

-
Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

-
Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

-
Architect scalable data pipelines โ€” aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

-
Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

-
Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

-
Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

-
Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

-
Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

-
5+ years of professional software / AI engineering experience, with a strong Python foundation.

-
Hands-on experience building LLM / RAG applications โ€” retrieval, chunking strategies, prompt orchestration, and evaluation.

-
Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

-
Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

-
Practical understanding of security and data governance, including handling of sensitive or controlled data.

-
U.S. citizenship or permanent residency (supports a federal / DOE environment).

-
Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

-
Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

-
Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

-
Experience using Microsoft Copilot for enterprise RAG use cases.

-
Experience integrating application and AI logging into a SIEM.

-
Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

-
Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

-
Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

-
Must reliably support Pacific Time core business hours.

-
U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

-
Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NCโ€“based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.