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Senior Agentic AI Engineerse
PeopleNTech LLC
1 day ago
Full-time
On-site
Alexandria, Virginia, United States
Job Description Job Description
Role : Senior Agentic AI Engineers Location : San Francisco, CA 94105 ( Onsite) Rate : $75/hr. Indents : SF_OP_206911-1-1 SF_OP_206911-1-2 Job Responsibilities
Design and implement a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory. Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. You will build systems to parse requirements, map software modules, and auto-generate test cases - boosting engineering velocity without sacrificing the compliance rigor required for FDA-cleared software. Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, and highly accurate within a medical context. Enable agents to interact dynamically with complex medical data structures, Electronic Health Records (EHRs), imaging pipelines, and internal APIs. Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures. Mentor junior/mid-level engineers, champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems), and stay ahead of the rapidly evolving AI landscape. Required Qualifications
5 years (Senior) or 8 years (Staff) of professional software engineering experience, with a proven track record of shipping production-grade software. Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures. Experience with orchestration frameworks and vector databases. Advanced proficiency in Python or Go, alongside a solid grasp of microservices, API design, and cloud infrastructure (AWS or GCP). A passion for greenfield projects - you thrive in ambiguity, enjoy designing systems from scratch, and love solving complex, open-ended problems. Nice-to-Have
Experience deploying AI applications in regulated industries (Healthcare, Finance, etc.) or navigating HIPAA/GDPR compliance. Active contributions to open-source LLM or Agentic AI frameworks. Experience with advanced prompt engineering, fine-tuning, or RAG optimization.
Role : Senior Agentic AI Engineers Location : San Francisco, CA 94105 ( Onsite) Rate : $75/hr. Indents : SF_OP_206911-1-1 SF_OP_206911-1-2 Job Responsibilities
Design and implement a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory. Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. You will build systems to parse requirements, map software modules, and auto-generate test cases - boosting engineering velocity without sacrificing the compliance rigor required for FDA-cleared software. Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, and highly accurate within a medical context. Enable agents to interact dynamically with complex medical data structures, Electronic Health Records (EHRs), imaging pipelines, and internal APIs. Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures. Mentor junior/mid-level engineers, champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems), and stay ahead of the rapidly evolving AI landscape. Required Qualifications
5 years (Senior) or 8 years (Staff) of professional software engineering experience, with a proven track record of shipping production-grade software. Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures. Experience with orchestration frameworks and vector databases. Advanced proficiency in Python or Go, alongside a solid grasp of microservices, API design, and cloud infrastructure (AWS or GCP). A passion for greenfield projects - you thrive in ambiguity, enjoy designing systems from scratch, and love solving complex, open-ended problems. Nice-to-Have
Experience deploying AI applications in regulated industries (Healthcare, Finance, etc.) or navigating HIPAA/GDPR compliance. Active contributions to open-source LLM or Agentic AI frameworks. Experience with advanced prompt engineering, fine-tuning, or RAG optimization.