San Jose, CA · On-site
$45/hr
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
San Jose, CA · On-site
$45/hr
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG). * Experience deploying AI models to production environments. * Strong understanding of data ...
Quick apply
Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG). * Experience deploying AI models to production environments. * Strong understanding of data ...
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Quick apply
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Los Angeles, CA · On-site
$112K - $154K/yr
Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. * Design, deploy, and ...
Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...
Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...
$171K - $302K/yr
Furthermore, we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. You'll ...
$171K - $302K/yr
Furthermore, we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. You'll ...
Mountain View, CA · On-site
$213K - $263K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Mountain View, CA · On-site
$213K - $263K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
... Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. • Optimize prompts, workflows, evaluation systems, and agent behavior. • Implement knowledge ...
... Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. • Optimize prompts, workflows, evaluation systems, and agent behavior. • Implement knowledge ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...
$171K - $302K/yr
Furthermore, we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. You'll ...
$171K - $302K/yr
Furthermore, we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. You'll ...
San Jose, CA · On-site
$45 - $65/hr
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
San Jose, CA · On-site
$45 - $65/hr
Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...
Santa Clara, CA · On-site
Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval ...
Quick apply
Santa Clara, CA · On-site
Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval ...
$126K - $166K/yr
Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...
$126K - $166K/yr
Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...
San Jose, CA · On-site
$17.75 - $23.50/hr
You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...
San Jose, CA · On-site
$17.75 - $23.50/hr
You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...
Mountain View, CA · On-site
$298K - $368K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Mountain View, CA · On-site
$298K - $368K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Mountain View, CA · On-site
$251K - $310K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Mountain View, CA · On-site
$251K - $310K/yr
Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...
Los Angeles, CA · On-site
$68.50 - $89.25/hr
... Retrieval-Augmented Generation (RAG), Python, and cloud-native engineering on Azure • Senior-level, hands-on engineering experience required; entry-level or mid-level candidates are not suitable ...
Los Angeles, CA · On-site
$68.50 - $89.25/hr
... Retrieval-Augmented Generation (RAG), Python, and cloud-native engineering on Azure • Senior-level, hands-on engineering experience required; entry-level or mid-level candidates are not suitable ...
Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced ...
Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced ...
$45/hr
Full-time
Posted 19 days ago
MonolithicPowerSystems,Inc.(MPS)isoneofthefastestgrowingcompaniesintheSemiconductorindustry.WeareworldwidetechnicalleadersinIntegratedPowerSemiconductorsandSystemsPowerdeliveryarchitectures.AtMPS,wecultivatecreativity,arepassionateaboutsustainability,andarecommittedtoprovidingleading-edgeproductsandinnovationtoourcustomers.Ourportfoliooftechnologyhelpspowerourworld---comejoinourteamandseehowYOUcanmakeadifference.
Job Description:
Job Summary
We are seeking a highly skilled AI Developer to join our innovative team. The successful candidate will be responsible for designing, developing, and implementing AI agents that enhance employee productivity across various departments, including HR, Finance, Product Support, Customer Service, and CAD Design. This role involves leveraging cutting-edge AI and machine learning methodologies to create intelligent solutions. Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration with cross-functional teams is essential to ensure seamless integration of AI solutions into existing systems.
Responsibilities:
Design and Develop AI Agents: Create AI Agent to improve productivity for various departments based on user's requirement
Implement RAG Models: Develop and integrate Retrieval-Augmented Generation models to enhance the accuracy and relevance of AI-generated content.
Fine-Tune Open-Source Models: Utilize and fine-tune open-source models from Meta, Google, Deepseek, and Nvidia to optimize AI performance.
Collaborate with Cross-Functional Teams: Work closely with the stakeholders to ensure AI solutions align with business objectives
Integrate AI into Existing Systems: Ensure the seamless integration of AI models into current processes and systems across departments.
Stay Updated on AI Trends: Continuously research and implement best practices in AI and machine learning to maintain cutting-edge solutions.
Troubleshoot and Optimize: Test, troubleshoot, and optimize AI systems to ensure high performance and reliability.
Requirements and Skills:
Education: Pursuing PHD or MS in Machine Learning and AI, computer science or related field
Technical Skills:
Proficiency in programming languages such as Python, Java, R.
Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
Experience with RAG models and open-source AI tools.
Familiarity with CAD software and design principles is a plus
Soft Skills:
Excellent problem-solving and critical thinking abilities.
Strong communication skills to explain complex AI concepts to non-technical stakeholders.
Ability to work collaboratively in a team environment.
Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The hourly pay range for this position is $45/hr - $65/hr with monthly stipend eligibility.
Monolithic Power Systems, Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
