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Retrieval Augmented Generation Jobs in Riverside, CA

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA

$112.20K - $154K/yr

Experience with agentic AI deployment workflows , orchestration frameworks, and retrieval-augmented generation. * Strong knowledge of security and compliance in ML and cloud environments. Our salary ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA

$112.20K - $154K/yr

Experience with agentic AI deployment workflows , orchestration frameworks, and retrieval-augmented generation. * Strong knowledge of security and compliance in ML and cloud environments. Our salary ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

Experience with agentic AI deployment workflows , orchestration frameworks, and retrieval-augmented generation. * Strong knowledge of security and compliance in ML and cloud environments. Our salary ...

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working knowledge of retrieval-augmented generation (RAG): embeddings, vector search, chunking strategies * Solid SQL and relational data modeling skills * Comfortable with containerized development ...

Origence

AI Solution Architect

Irvine, CA · On-site

$67.75 - $89.25/hr

Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers * Implement vector search and semantic capabilities within the ...

CU Direct

AI Solution Architect

Irvine, CA · On-site

$67.50 - $89/hr

Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers * Implement vector search and semantic capabilities within the ...

Origence

AI Solution Architect

Irvine, CA · On-site

$67.75 - $89.25/hr

Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers * Implement vector search and semantic capabilities within the ...

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working knowledge of retrieval-augmented generation (RAG): embeddings, vector search, chunking strategies * Solid SQL and relational data modeling skills * Comfortable with containerized development ...

Origence

AI Solution Architect

Irvine, CA

$67.50 - $89/hr

Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers * Implement vector search and semantic capabilities within the ...

Reply

AI/ML Engineer (AWS)

Irvine, CA · Remote

$120K - $155K/yr

Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures. * Experience designing distributed systems or working within cloud-based environments. * Experience ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119.13K - $197.73K/yr

Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings, vector indexing, and the "chunking" of unstructured data for AI consumption * Excellent written and ...

GoodLeap

Staff AI Engineer, Payments

Irvine, CA · On-site

$173K - $200K/yr

Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems * Knowledge of payments infrastructure, PCI compliance, and financial-grade security practices is a plus * Track ...

GoodLeap

Principal AI Engineer, Payments

Irvine, CA · On-site

$202K - $237K/yr

Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems * Knowledge of payments infrastructure, PCI compliance, and financial-grade security practices is a plus * Track ...

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Retrieval Augmented Generation information

What is a Retrieval Augmented Generation job?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
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Retrieval Augmented Generation jobs near you

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA

$112.20K - $154K/yr

Full-time

Posted 7 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do:
  • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
  • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
  • Build and operate data systems for large-scale video ingestion, indexing, and storage.
  • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
  • Ensure reliability and observability with monitoring, logging, and alerting.
  • Collaborate with AI/ML Engineers to productionize workflows.
  • Optimize infrastructure for performance and cost across cloud and edge.
  • Enforce best practices in security, compliance, and maintainability.
  • Mentor and manage junior engineers, providing technical guidance and career development.
What You Have:
  • Bachelor's/Master's in Computer Science, Engineering, or related field (or equivalent experience).
  • 4+ years of industry experience in ML infrastructure or platform engineering.
  • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
  • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
  • Hands-on experience building ML pipelines for distributed training and large-scale inference.
  • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
  • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
  • Experience with system monitoring and observability in production.
The Extras That Set You Apart:
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
  • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
  • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
  • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
  • Strong knowledge of security and compliance in ML and cloud environments.
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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