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Remote Rag Jobs in Pittsburg, CA (NOW HIRING)

Senior AI Engineer

San Francisco, CA · Remote

$190K - $255K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... Worked with vector databases, embedding models, and RAG architectures * Hands-on experience with ...

Staff AI Engineer

San Francisco, CA · Remote

$240K - $310K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... Mastery of retrieval architectures, RAG, vector databases, and embedding pipelines * Hands-on with ...

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

Senior Backend Engineer - AI Platform

San Francisco, CA · On-site +1

$144K - $190K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

... and RAG. ESSENTIAL FUNCTIONS/RESPONSIBILITIES * As a subject matter expert for e-discovery, the ... remote work options. We offer competitive and robust medical, dental, vision, life long-term ...

Senior Software Engineer

San Francisco, CA · Remote

$144K - $190K/yr

You are proficient in English, both written and verbal, sufficient for success in a remote and ... You have exposure to RAG systems - embeddings, vector stores, retrieval optimization, and grounding ...

Showing results 41-55

Remote Rag information

See Pittsburg, CA salary details

$19

$23

$26

How much do remote rag jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote rag in Pittsburg, CA is $23.90, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $25.38 per hour, depending on experience, location, and employer.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.

What job categories do people searching Remote Rag jobs in Pittsburg, CA look for?

The top searched job categories for Remote Rag jobs in Pittsburg, CA are:

What cities near Pittsburg, CA are hiring for Remote Rag jobs?

Cities near Pittsburg, CA with the most Remote Rag job openings:

Senior AI Engineer

Fieldguide

San Francisco, CA • Remote

$190K - $255K/yr

Full-time

Medical, Retirement

Re-posted 16 days ago


Job description

About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners—specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.

About the Role

Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Senior AI Engineer, you'll own meaningful product areas end-to-end—designing agentic architectures, building evaluation systems, and shipping agents that professionals trust with mission-critical work.

This role is for engineers who have shipped LLM-powered features in production and are ready to take the lead on complex systems while mentoring those around them.

What You’ll OwnBuild and Ship AI Agents
  • Design and build agentic systems that automate complex audit workflows end-to-end

  • Translate customer problems into concrete agent behaviors and orchestration logic

  • Orchestrate LLMs, tools, retrieval, and business logic into reliable, production-grade agent experiences

  • Own agents across their lifecycle: delivery, reliability, performance, and observability

Execute with AI-Native Leverage
  • Use AI to accelerate design, build, test, and iteration cycles

  • Prototype quickly, then harden systems for enterprise-grade reliability

  • Build evaluation frameworks, feedback loops, and guardrails to improve agents over time

  • Design prompts, retrieval pipelines, and orchestration logic that perform at scale

Drive Product Impact
  • Make clear trade-offs on what to build, cut, or skip based on customer value

  • Partner with Product and Design to define capabilities that deliver real outcomes

  • Stay close to customer workflows and optimize for highest-impact problems

  • Identify capability gaps and unblock team progress proactively

Mentor and Multiply the Team
  • Raise the quality bar through code review, design feedback, and pairing

  • Create reusable abstractions, patterns, and tooling that increase team velocity

  • Share learnings across the team and establish engineering best practices

Who You Are

You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you:

  • Bias to building: You move fast and resolve uncertainty by shipping

  • AI-native instincts: You treat LLMs, agents, and automation as core building blocks

  • Strong product judgment: You decide what matters and why—not just how to implement it

  • Learning velocity: You learn quickly from feedback and adjust based on data

  • Grounded optimism: You improve what's broken today and push toward what's possible next

  • End-to-end ownership: You understand production systems and own outcomes

Experience

We care more about capability and trajectory than years on a resume, but most strong candidates have:

  • 3–6+ years shipping production software in complex, real-world systems

  • Strong command of TypeScript, Python, and Postgres

  • Shipped LLM-powered features serving real production traffic

  • Built retrieval pipelines and agent orchestration systems

  • Implemented evaluation frameworks for model outputs and agent behavior

  • Worked with vector databases, embedding models, and RAG architectures

  • Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic) and agent frameworks

  • Comfortable operating in ambiguity and taking responsibility for outcomes

What Should Excite You
  • Enterprise-grade reliability: Building systems professionals depend on

  • Human-in-the-loop design: Knowing when to automate vs. when to surface decisions

  • Nuanced evaluation: Audits require judgment, so feedback structures matter

  • Explainability: Making AI outputs and reasoning transparent and trustworthy

  • Complex domains: Navigating compliance and enterprise rigor while moving fast

  • Shipping daily value: Delivering agent experiences customers use every day

Benefits
  • Competitive compensation with equity

  • Comprehensive health and wellness benefits

  • Flexible time off and work schedules

  • Technology reimbursements

  • 401(k) plan

  • Twice-yearly in-person offsites across the U.S.

  • Wellness benefits starting on your first day

Our Values
  • Fearless — Inspire and break down seemingly impossible walls

  • Fast — Launch fast with excellence; iterate to perfection

  • Lovable — Deliver happiness and 11-star experiences

  • Owners — Execute and run the business with ownership

  • Win-win — Create mutual value and earn trust for life

  • Inclusive — Scale the best ideas with inclusive teams

Compensation Range: $190K - $255K