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Remote Ai Prompt Engineer Jobs in San Ramon, CA (NOW HIRING)

Remote JD: Core Responsibilities * Design, develop, and deploy autonomous AI agents using ... Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering

AI Agentic Engineer

San Francisco, CA ยท On-site +1

$62 - $85/hr

  • Medical

  • Life

  • Retirement

  • PTO

Employee divides their time between in-office and remote work. Access to an office location is ... Demonstrable experience in prompt engineering and designing effective prompt strategies for LLMs

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 ...

Salesforce AI Developer

San Francisco, CA ยท On-site +1

$65.50 - $86.50/hr

Salesforce Agentforce Salesforce Einstein AI Apex Salesforce Flow Lightning Web Components (LWC) Generative AI (GenAI) Prompt Engineering AI Agent Development REST APIs & Integrations SOQL/SOSL ...

Marketing Engineer

San Francisco, CA ยท On-site +1

$150K - $180K/yr

Ensure marketers on the team are on the cutting edge of AI, prompt-engineering campaigns, testing agents, and shipping AI-powered work. * Turn what a sharp marketer created into the tool the whole ...

Showing results 21-40

Remote Ai Prompt Engineer information

See San Ramon, CA salary details

$28

$59

$85

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

As of Aug 18, 2026, the average hourly pay for remote ai prompt engineer in San Ramon, CA is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $69.57 per hour, depending on experience, location, and employer.

What is a remote AI prompt engineer?

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 does a remote AI prompt engineer do?

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 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 are the most commonly searched types of Ai Prompt Engineer jobs in San Ramon, CA?

The most popular types of Ai Prompt Engineer jobs in San Ramon, CA are:

What are popular job titles related to Remote Ai Prompt Engineer jobs in San Ramon, CA?

For Remote Ai Prompt Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Prompt Engineer jobs in San Ramon, CA look for?

The top searched job categories for Remote Ai Prompt Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Ai Prompt Engineer jobs?

Cities near San Ramon, CA with the most Remote Ai Prompt Engineer job openings:

Infographic showing various Remote Ai Prompt Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 4% Internship, 71% Full Time, 11% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,662 per year, or $59.9 per hour.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


Job description

Job Description

AI Backend Engineer, Work From Home

We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform.  This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience.  This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.  We have multiple openings for this position.  This position is 100% Remote.

AI Backend Engineer Responsibilities:

- Build and operate backend systems that serve AI-powered insurance workflows in production.

- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.

- Build inference pipelines for LLM-based and AI-assisted automation systems.

- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).

- Design stable service boundaries between backend systems, ML components, and product APIs.

- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.

- Debug production issues across distributed AI systems and resolve root causes.

- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.

- Continuously improve system reliability, scalability, and performance.

AI Backend Engineer Outcomes:

- AI backend systems run reliably at scale with low latency and high availability.

- AI workflows are stable, observable, and production-ready across multiple products.

- System performance improves continuously through real-world feedback and optimization.

- Production incidents are quickly detected, diagnosed, and resolved.

- AI capabilities are seamlessly integrated into global customer and internal workflows.

Qualifications

AI Backend Engineer Qualifications:

- Strong backend engineering experience in production systems.

- Experience building or operating high-throughput, low-latency services.

- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).

- Experience with distributed systems and production debugging.

- Strong understanding of APIs, data flows, and system design principles.

- Experience with observability tools (logging, monitoring, tracing).

- Strong ownership mindset and bias toward shipping.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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