Senior Agentic AI Engineer-San Francisco, CA – Hybrid

This opportunity is for a Senior Agentic AI Engineer role with one of our clients. Please find the job description below. Position Overview : Role: Senior Agentic AI Engineer Number of Openings: 3–4 Client: HeartFlow (Medical Diagnostic Company) Location: San Francisco, CA – Hybrid (2–3 Days in Office) Duration: 12+Months Contract Role Rate: $65/hr on W2 | $70/hr on C2C[Negoatible] Please confirm the following questions: (This will help us manage your application and share your profile with the hiring manager.) How many years of experience do you have in AI/ML engineering, with hands-on experience implementing and scaling Agentic AI systems? How many years of hands-on experience do you have building production-grade AI agents, LLM-based applications, agentic workflows, and AI orchestration frameworks? LinkedIn Profile Link: Current Location: Please specify your work authorization status (H1B, H4 EAD, GC, GC EAD, TN, or USC): Are you currently located within commuting distance of San Francisco, CA, and comfortable working hybrid 2–3 days per week in the office? Could you please confirm if you're comfortable with the rate of $65/hr on W2 or $70/hr on C2C? Education Details [University / Year]: Job Summary We are seeking a highly technical Senior Agentic AI Engineer to implement and scale Agentic AI solutions. The ideal candidate should have strong hands-on experience designing, developing, implementing, and scaling production-grade Agentic AI systems and AI-driven applications. Industry domain experience is not required; strong technical expertise in Agentic AI is the primary focus. Key Responsibilities Design, develop, implement, and scale Agentic AI systems and solutions. Build production-grade AI agents and agentic workflows. Develop AI-driven applications leveraging Large Language Models (LLMs). Design and implement scalable AI architectures and agent orchestration frameworks. Integrate AI agents with enterprise systems, APIs, data sources, and external tools. Develop multi-agent systems and workflows to support complex business use cases. Optimize AI agents for reliability, scalability, performance, and production readiness. Implement evaluation, monitoring, observability, and continuous improvement processes for Agentic AI systems. Collaborate with cross-functional technical teams to deploy and scale AI solutions in production environments. Stay current with advancements in Agentic AI, LLMs, AI orchestration, and emerging AI technologies. Required Skills & 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. Other Job Details Number of Openings: 3–4 Industry Experience: Not required; strong technical expertise is the primary focus. Key Focus: Implementing and scaling Agentic AI solutions Interviews: Video interviews. Docs required: ID proof will be required