ZipRecruiter

Log In

2

Remote Rag Jobs in Lakewood, CA (NOW HIRING)

LangChain, Inc

Solutions Architect (Remote)

Los Angeles, CA · On-site +1

$68 - $89.50/hr

Experience with vector stores, RAG patterns, and knowledge organization * Experience with tool ... Remote Compensation $170K to $190K Compensation Philosophy: We offer competitive compensation that ...

Corvel

Data Science Manager

Irvine, CA · Remote

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings ...

Baidu USA

Forward Deployment Engineer

Los Angeles, CA · On-site +1

Understanding of AI/ML is a plus (LLMs, agents, RAG), but not mandatory - you can learn on the job ... Flexible PTO and remote work arrangements. * Earlyhire advantage: Be one of the first US team ...

New

previous page

Showing results 21-33

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Lakewood, CA

Remote Rag information

See Lakewood, CA salary details

$18

$22

$25

How much do remote rag jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote rag in Lakewood, CA is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.23 per hour, depending on experience, location, and employer.

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 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 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 Lakewood, CA look for? The top searched job categories for Remote Rag jobs in Lakewood, CA are:
What cities near Lakewood, CA are hiring for Remote Rag jobs? Cities near Lakewood, CA with the most Remote Rag job openings:
Remote Rag jobs near you

Solutions Architect (Remote)

LangChain, Inc

Los Angeles, CA • On-site, Remote

$68 - $89.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role
We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Key Responsibilities
  • Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
  • Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
  • Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
What We're Looking For
Required Experience
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
  • 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
  • Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
  • Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
  • Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
  • Experience designing high-availability and disaster recovery solutions
  • Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
  • Experience with CI/CD pipelines for infrastructure and applications

Agent Engineering & Development:
  • 1+ years of experience building production AI/ML applications or agents
  • Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
  • Experience with state management patterns (short-term and long-term memory)
  • Experience designing and implementing evaluation frameworks for AI applications
  • Strong prompt engineering skills with experience in optimization and A/B testing
  • Experience with vector stores, RAG patterns, and knowledge organization
  • Experience with tool integration, API design, and error handling patterns
  • Strong Python and/or TypeScript development skills

Customer-Facing:
  • Customer-facing experience with enterprise customers
  • Experience conducting technical assessments or infrastructure audits
  • Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
  • Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
  • Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
  • Experience working cross-functionally with engineering teams, product teams, and customers
  • Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
  • Ability to balance infrastructure architecture with agent development work
  • Strong engineering background with hands-on development experience

Location: Remote
Compensation
$170K to $190K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Apply