Sr. Full Stack Developer

MountainSeed Appraisal Management LLC•Atlanta, GA

21d•$130,000 - $150,000•Hybrid

About The Position

We are seeking a Senior Full-Stack Developer to help design and build our AI-powered application and deliver scalable, high-performance applications across the full technology stack. Unlike large enterprises, we move fast and embrace agility — valuing rapid prototyping, iteration, and learning over lengthy requirement cycles. The ideal candidate is a hands-on developer who thrives in an Agile environment, actively uses AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) to build faster and better, and is excited to apply AI/LLM concepts directly to our product roadmap.

Requirements

7+ years of professional experience as a full-stack developer.
Agile mindset with a strong focus on prototyping, iteration, and speed-to-value.
Front End: Angular or React, strong proficiency in JavaScript/TypeScript.
Back End: Strong, hands-on proficiency in Python required; also .NET, PostgreSQL, MongoDB, RDS.
Infrastructure: Deep, hands-on production experience with AWS (EC2, EKS/Kubernetes, Lambda, RDS, S3, IAM, Cognito, CloudWatch, Bedrock, etc.) required — including the ability to independently diagnose and resolve common operational issues (e.g., pod/container failures, scaling, deployment errors) rather than relying on DevOps for routine troubleshooting.
Quality & Testing: Strong track record writing automated tests (unit, integration, end-to-end), test-driven development, and building test coverage into CI/CD pipelines.
AI-Assisted Development: Demonstrated, hands-on experience using AI coding agents/assistants (e.g., Claude Code, GitHub Copilot, Cursor) to write, review, and ship code faster.
Building AI-Powered Products: Experience building AI/LLM-powered application features (e.g., agents, RAG, embeddings), ideally leveraging AWS Bedrock — you’ll help build and evolve our product’s AI capabilities directly.
Solid understanding of software architecture, scalability, and performance.
AI Tooling: Hands-on, shipped experience with LLM orchestration frameworks, evaluation/monitoring tooling, and vector databases for embeddings and retrieval required — this should be production experience, not just interest.
Experience collaborating with DevOps teams and familiarity with CI/CD practices.
Culture Fit: Technical depth paired with humility — someone who asks first how they can add value, is brutally honest about what’s working and what isn’t, and cares more about the team’s success than personal credit. We have zero tolerance for ego.

Nice To Haves

GIS (Geographic Information Systems) knowledge or experience with geospatial data integration.
Previous leadership or mentoring experience.

Responsibilities

Build, test, and iterate quickly on prototypes and production-ready applications.
Lead full-stack development across front-end, back-end, and infrastructure.
Leverage AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) as a core part of your daily workflow to accelerate development, automate repetitive tasks, and raise code quality.
Design, build, and evolve AI-powered features for our application, integrating LLMs, agents, and related AI infrastructure into the core product.
Develop APIs, services, and cloud-native solutions on AWS.
Collaborate closely with architecture, product management, and DevOps to shape requirements and deliver impactful solutions.
Work alongside our DevOps team to ensure smooth deployments, scalability, and operational excellence.
Take pride of ownership in what you build — we invest in strong CI/CD and automated testing, with feature flags so releases aren’t handicapped by business readiness, letting the team work smart, not just hard. This reflects our values in action: taking responsibility from design through production support, and pitching in when the team needs it.
Contribute to a culture of experimentation, agility, and continuous improvement.
Write and maintain automated tests (unit, integration, and end-to-end) and champion a strong quality assurance culture across the codebase.
Mentor junior developers and provide technical guidance.