Design and implement agentic AI solutions and architectures (orchestration, memory, tool integration, guardrails, human-in-loop). Transform automations into autonomous workflows, optimize performance and scalability, document designs and best practices, and collaborate cross-functionally to deliver production-grade AI systems.
As an Agentic AI Engineer, you will be at the forefront of AI innovation, working with a diverse team to create intelligent, autonomous systems. Your role is pivotal in enhancing our products and services, ensuring they are at the cutting edge of technology. You will collaborate with cross-functional teams, applying your expertise to develop and implement AI strategies that drive our business forward.
Responsibilities- Design, develop, and optimize agentic AI solutions for a variety of business and customer use cases.
- Transform existing processes and automation tools into intelligent, autonomous, and semi-autonomous workflows.
- Define and implement solution architectures for agent orchestration, memory management, tool integration, guardrails, and human-in-the-loop workflows.
- Enhance process efficiency, user experience, and operational scalability through AI-driven automation solutions.
- Document solution designs, technical decisions, best practices, and implementation guidelines to support scalable delivery and maintenance.
Must-Have:
- Bachelor’s degree with experience in AI/ML engineering and solution development.
- Strong experience in AI/ML engineering, solution architecture, and end-to-end AI solution delivery.
- Deep understanding of RAG, prompt engineering, vector databases, embeddings, and model evaluation techniques.
- Hands-on experience with LLMs, generative AI technologies, and agentic AI frameworks for building intelligent applications and orchestration workflows.
- Strong knowledge of software engineering best practices, including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles related to governance, security, and privacy.
Nice-to-Have:
Experience with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, or equivalent agent orchestration frameworks.
orchestration frameworks for intelligent automation.
Automated infrastructure provisioning and management using Terraform and Infrastructure as Code (IaC) practices.
Designed and deployed cloud-based solutions on Azure, AWS, and Google Cloud platforms.
Applied MLOps best practices for enterprise AI deployments and leveraged automation certifications to deliver scalable, reliable solutions.
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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
