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