Lead AI developer to design and deploy RAG pipelines, custom autonomous AI agents and multi-modal LLM solutions. Build data pipelines, perform cleaning/labeling/synthetic data generation, implement complex generative algorithms, and build MS Copilot Studio Agent Builder skills with Power Automate workflows, trigger management, and enterprise integrations.
Role/Title: Data Scientist / AI Developer
Location: Santa Clara, CA
Onsite/Remote/Hybrid: Onsite
Duration: Long-term
Key Responsibilities:
- Demonstrate advanced programming expertise, particularly in Python, with deep proficiency in AI-centric libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval systems.
- Design, develop, and deploy Custom AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models.
- Implement and manipulate complex algorithms essential for developing and optimizing generative AI models.
- Manage data pipelines involving data pre-processing, augmentation, and synthetic data generation to enhance model training and performance.
- Ensure robust data handling practices including cleaning, labeling, and structuring datasets for generative AI workflows.
- Design MS Copilot Studio Agent Builder advanced skills, including custom plugin development, adaptive orchestration of multiple AI skills and APIs, contextual memory management, dynamic prompt engineering, and secure data handling.
- Agent Orchestration: Build multi-turn agents that adapt and chain AI skills and APIs.
- Trigger Management: Configure message, data, scheduled, and webhook triggers.
- Automation Workflow: Design workflows with Power Automate for task automation.
- Flow Design: Create logical, scalable flows for complex business processes.
- Tool Integration: Use Copilot’s built-in connectors to integrate enterprise apps and services seamlessly.
Similar Jobs
Information Technology • Consulting
Reverse-engineer Procore data model and REST APIs; map Bronze→Silver→Gold datasets with transformation rules and data-quality defects; define crosswalk keys (global Project ID) reconciling Procore, P6, and Yardi; define data-quality gates and confidence scoring; support pipeline development and automated testing; validate Gold datasets against sources and document a reusable template.
Top Skills:
Primavera P6ProcoreProcore Rest ApiPythonSQLYardi
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm insurance sales leads, consult with customers to match coverages, convert leads to policyholders, complete paid licensing and remote training, work scheduled shifts including weekends, and maintain required work-from-home technology and space.
Top Skills:
Dsl)FiberHigh-Speed Internet (CablePc
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
