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Principal Agentic Engineer

  • Source: LinkedIn
  • Jobot
  • $190,000 to $250,000 /yr
  • Remote
  • Washington
  • Full-Time
  • Staff

Job Description

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Job details:

Lead the engineering organization building our AI Engagement Agent—one of our newest and most transformative product initiatives This Jobot Job is hosted by: Charles Simmons

Are you a fit? Easy Apply now by clicking the “Easy Apply” button

and sending us your resume.

Salary: $190,000 - $250,000 per year

A bit about us: This organization takes Public Health and Patient Outcome improvements to the next level, combining the latest and greatest technologies available today to tackle the challenges faced by clinical researchers, patients, and healthcare providers nationwide. The Mission is to make advanced health screenings and research opportunities available to communities across the US and beyond, to build a future health care system that is better and more available to all.

Why join us? Paid Time Off (PTO) and Company Paid Holidays

100% Employer paid medical, dental, and vision insurance plan options

Health Savings Account and Flexible Spending Accounts

Bi-weekly HSA employer contribution

Company paid Short-Term Disability and Long-Term Disability

401(k) Retirement Plan, with Company Match

Job Details As the Principal Engineer, you are a people-first leader who is deeply invested in the success of your team and the broader organization. You bring significant leadership and management experience within SaaS product environments, along with an engineering background that enables you to engage confidently in technical discussions without needing to be hands-on in the code every day.

You lead with a servant-leadership mindset, focused on helping your team do their best work, removing obstacles, and creating opportunities for others to grow. You are a highly effective collaborator and communicator who brings curiosity, energy, and a genuine enthusiasm for learning and applying emerging technologies.

Across complex, service-oriented industries, teams often spend significant time on repetitive operational work, including managing communications, answering routine questions, coordinating schedules, and completing standardized outreach and qualification activities.

You will lead an engineering organization responsible for building an AI-powered engagement platform, one of the company’s newest and most strategically important product initiatives. The team is developing an intelligent, voice- and messaging-enabled AI solution designed to manage standardized interactions, coordinate outreach, support scheduling, and automate routine engagement workflows at scale.

The team’s mission is to reduce administrative friction and return valuable time to frontline professionals, allowing them to focus more of their attention on complex, high-value work that requires human expertise and judgment.

How You’ll Make an Impact

Configurable Conversational Workflows:

Build flexible, script-driven conversational experiences that can be configured for a variety of use cases and tailored to different user needs, while effectively guiding individuals toward defined interaction goals.

Intelligent Logistics & Orchestration:

Develop a resilient orchestration engine capable of balancing multiple operational variables, including appropriate contact windows, local time zones, operating hours, interaction outcomes, and adaptive retry strategies to improve engagement while maintaining established best practices.

Delivery & Roadmap Execution:

Own execution of the engineering roadmap for the AI-powered engagement platform. Partner closely with Product and Design to translate complex business requirements into intuitive conversational workflows and deliver reliable, high-impact software.

Hands-on Architectural Guidance:

Participate actively in architecture and design reviews spanning real-time voice, messaging, workflow orchestration, and data pipelines. Help ensure the team builds a scalable, highly available platform while thoughtfully managing technical debt.

Sprint & Capacity Management:

Balance new feature development with platform reliability and long-term maintainability. Manage team capacity, resource allocation, and technical debt to keep critical product initiatives moving forward.

Agile Process Optimization:

Continually improve agile practices and CI/CD processes across …


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