Staff Engineer leading AWS integrations, microservices, and AI automation for EverCommerce’s SaaS service - commerce platform. Designing scalable solutions and guiding engineers across U.S. and Canadian teams.
About the role
- Full Stack Software Developer designing and building scalable applications at AI-focused engineering company. Collaborating with AI/ML teams to integrate advanced workflows and systems.
Responsibilities
- Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend
- Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles
- Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing
- Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph)
- Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems
- Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks
- Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code
- Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes
- Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry)
- Build developer-friendly tools including SDKs, documentation, and API portals
- Mentor engineers and contribute to system design, architecture reviews, and best practices
Requirements
- 5–10 years of experience in full stack software development
- Strong expertise in: Frontend: React, TypeScript, Next.js Backend: Python (FastAPI) and/or Node.js
- Proven experience building REST APIs, microservices, and distributed systems
- Hands-on experience with PostgreSQL and data modeling
- Experience with Docker, Kubernetes, and cloud platforms (GCP and/or Azure)
- Strong knowledge of CI/CD pipelines (GitHub Actions or similar)
- Experience with API lifecycle management (authentication, versioning, rate limiting)
- Solid understanding of system design, scalability, and performance optimization
- Experience integrating or building applications with LLMs, RAG, or Agentic AI systems
- Familiarity with LangChain, LangGraph, or similar frameworks
Benefits
- Upskill and discover your potential
- Work where innovation happens
- Opportunities to learn, grow and interact with colleagues
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