Senior Full Stack Developer (Agentic AI

Senior Full Stack Developer (Agentic AI)

myDNA, Inc. Houston, Texas, United States

Our Purpose

Our mission is to build a healthier and more connected world with precision health and genealogy services.

We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, Family

TreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting-edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.

Our Values

All employees are expected to demonstrate our values of Innovate ,
One Team ,
and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.

Position Overview

We are seeking a Senior Full Stack Developer (Agentic AI) to join our engineering team. In this hands-on senior role, you will be responsible for building, maintaining, and scaling production-grade full-stack applications that integrate agentic AI capabilities. You will leverage modern AI-assisted development tools to dramatically accelerate delivery and elevate code quality, while maintaining deep hands-on oversight to ensure our solutions remain reliable, maintainable, and implementable.

Your focus will be on the practical implementation, stability, and state management of AI agents within our existing product ecosystem, ensuring they operate reliably in a regulated environment. This includes implementing robust guardrails, security protocols, and testing/auditing mechanisms to ensure safe and predictable AI agent behavior. As a senior individual contributor, you will own features from local development through to automated CI/CD deployment and infrastructure management.

Accountabilities and Responsibilities

• Design, build, and maintain scalable, robust full-stack features using C#, .NET, and modern frontend frameworks (Angular or React).
• Integrate agentic AI workflows into production, building reliable state management and execution patterns to ensure agent consistency across complex, multi-step tasks.
• Write and tune complex SQL queries and design database schemas across MS SQL Server and PostgreSQL to support traditional and AI-driven features.
• Manage and scale AWS cloud infrastructure using Infrastructure-as-Code (Terraform or Cloud Formation), while maintaining automated CI/CD pipelines for rapid, compliant production deployments.
• Implement comprehensive observability and monitoring for traditional application logic and agentic AI components to ensure system uptime, performance, and reliability.
• Participate in peer code reviews, mentor junior team members, establish shared engineering standards, and drive continuous improvement in an iterative Agile/Scrum environment.

Position Requirements

Experience, Skills & Knowledge

• 8+ years of professional software engineering experience with deep expertise in C#, .NET Core, and modern frontend frameworks (Angular/React).
• Proven experience integrating AI models and agentic workflows into production applications, with a strong focus on building stable, predictable systems in regulated environments.
• Production experience with AWS cloud infrastructure (Lambda, RDS, Bedrock) managed via Infrastructure-as-Code (Terraform/Cloud Formation).
• Strong testing discipline: unit, integration, and contract testing, plus the ability to build evaluation harnesses for AI features.
• Excellent written and verbal communication; ability to explain technical and AI-related tradeoffs to non-technical, legal, and compliance stakeholders.
• Mentorship &
  
  Collaboration:
  
  A desire to mentor junior team members and foster a collaborative engineering culture through effective peer code reviews.
• Agile Proficiency:
  Comfortable working in an iterative, Agile/Scrum environment with a focus on delivering incremental value.
• Learning Agility: A proactive learner who stays current with the rapidly evolving AI landscape and contributes to team knowledge sharing.
• Problem-Solving:
  Exceptional analytical skills, with a track record of diagnosing and resolving complex, production-level performance and stability issues.

Compliance, Governance & Technologies

• Demonstrated success in implementing safety guardrails, security protocols, and auditability for AI-driven features.
• Proficiency in leveraging AI-assisted development tools (e.g., Claude Code, Git Hub Copilot, Cursor) to accelerate delivery, improve code quality, and maintain high standards of reliability and maintainability.
• Demonstrable experience delivering software within highly regulated, audit-ready environments (e.g., HIPAA, CAP/CLIA, or similar compliance frameworks).
• Experience with AI orchestration patterns…