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