Senior Agentic AI Engineer-San Francisco, CA - Hybrid

Role overview

Responsibilities

• check_circle Design, develop, implement, and scale Agentic AI systems and solutions.
• check_circle Build production-grade AI agents and agentic workflows.
• check_circle Develop AI-driven applications leveraging Large Language Models (LLMs).
• check_circle Design and implement scalable AI architectures and agent orchestration frameworks.
• check_circle Integrate AI agents with enterprise systems, APIs, data sources, and external tools.
• check_circle Develop multi-agent systems and workflows to support complex business use cases.
• check_circle Optimize AI agents for reliability, scalability, performance, and production readiness.
• check_circle Implement evaluation, monitoring, observability, and continuous improvement processes for Agentic AI systems.
• check_circle Collaborate with cross-functional technical teams to deploy and scale AI solutions in production environments.
• check_circle Stay current with advancements in Agentic AI, LLMs, AI orchestration, and emerging AI technologies.

Basic qualifications

• Strong hands-on experience in Agentic AI engineering.
• Proven experience implementing and scaling Agentic AI solutions.
• Experience building production-grade AI agents and agentic workflows.
• Strong experience with Large Language Models (LLMs) and LLM-based applications.
• Experience with AI agent orchestration frameworks and tools.
• Strong programming skills, preferably Python.
• Experience integrating AI systems with APIs, tools, data sources, and enterprise applications.
• Experience designing scalable and reliable AI architectures.
• Strong understanding of AI/ML concepts and modern Generative AI technologies.
• Experience with deploying and operating AI solutions in production environments.
• Strong problem-solving skills and ability to work in highly technical environments.