Position Overview

Lean Layer is the #1 Rated RevOps Agency on G2, and we’re doubling our consulting and engineering capabilities over the next year. Our reputation is built on excellent results, which means we need to keep hiring exceptional builders. We’re looking for a Senior Full Stack Developer to own and evolve the AI infrastructure that powers both our internal operations and customer-facing deployments.

This role focuses on building and maintaining full-stack systems that integrate data pipelines, LLM orchestration, and enterprise-grade application layers. You will be responsible for developing both the user-facing interfaces and the backend systems that power scalable, reliable, and intelligent applications.

Working closely with RevOps Consultants, Data Engineers, and AI-focused teams, this role ensures that complex AI-driven workflows are translated into robust, usable, and production-ready systems.

The ideal candidate combines strong full-stack engineering skills with systems thinking, enabling them to design scalable architectures, handle real-world data complexity, and build products that balance automation with human-in-the-loop workflows.

What We're Looking For

The ideal candidate:

Enjoys owning systems end-to-end, from UI to infrastructure
Thinks in terms of systems, state, and data models—not just features
Is comfortable working with real-world complexity, edge cases, and evolving requirements
Has a strong bias toward building reliable, maintainable, and scalable systems
Understands how to integrate AI into real products, not just prototypes
Thrives in small, high-ownership environments
Can balance speed of execution with long-term system design

Key Responsibilities

Full Stack Application Development

Build and maintain React/TypeScript interfaces including dashboards, portals, and project management views
Develop real-time and collaborative features such as threaded conversations and shared workflows
Design and implement Python-based backend systems using FastAPI or Flask
Create REST APIs, relational data models, and application state management systems
Implement authentication, role-based access control, and approval workflows

AI Integration & Application Layer

Integrate LLM APIs (OpenAI, Anthropic) into production systems
Build application workflows where AI generates outputs and humans review/approve
Handle streaming responses and real-time AI interactions
Debug and optimize prompt behavior and model outputs
Design systems that combine deterministic logic with AI-driven components

Data Systems & Storage

Design and manage relational data models using PostgreSQL
Utilize Redis for caching, state management, and performance optimization
Work with vector databases (e.g., ChromaDB) for semantic search and retrieval
Integrate analytics and event tracking using platforms like BigQuery
Ensure data consistency, performance, and scalability across systems

Integrations & External Systems

Build and maintain integrations with third-party systems such as CRMs, Slack, Google Drive, and other operational tools
Design connectors that are reliable, configurable, and adaptable across deployments
Ensure integrations are robust and maintainable across different client environments

Infrastructure & Deployment

Containerize applications using Docker
Deploy and manage infrastructure on Google Cloud Platform (GCE, Compute Engine)
Build and maintain CI/CD pipelines using GitHub Actions
Design deployment systems that support isolated, per-customer environments
Ensure reliability, scalability, and repeatability of deployments across cloud environments

Required Qualifications

Strong experience with Python and React/TypeScript
Experience designing REST APIs and working with relational databases (PostgreSQL)
Familiarity with authentication systems and role-based access control
Experience with Docker, GCP (Compute Engine), and CI/CD pipelines
Experience building production systems with real data models and workflows
Experience working with LLM APIs and handling streaming responses
Background in small teams or startups with full-stack ownership

Preferred Experience

Experience with vector databases such as ChromaDB or Pinecone
Experience building Slack apps (Bolt SDK or similar)
Experience developing workflow systems or multi-tenant architectures
Experience deploying infrastructure across multiple customer cloud environments
Portfolio or examples of past full-stack or systems-level projects

Additional Information

Learn more about what it's like to work at Lean Layer here.

Visa Sponsorship: Please note that we are not currently able to offer U.S. visa sponsorship or transfer for this position.

For Brazilian Residents: We invite you to apply for this position, but please note that at this time we can only hire those outside of the United States as full-time contractors. If you have any questions about this setup, please don't hesitate to reach out.

Senior Full Stack Developer – AI Infrastructure