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Senior Agentic AI Engineerse

PeopleNTech LLC

  • Alexandria, VA
  • 30+ days ago
  • $75 Per Hour

Highlights

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. 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.

Numbers & Facts

LocationAlexandria, VA

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.

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