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Senior Full Stack Developer – AI Infrastructure

Worldwide Salaried Open

Position Overview

Lean Layer is the #1 Rated RevOps Agency on reputed company, and we’re doubling our consulting and engineering capabilities over the next year. Our reputed company is built on excellent results, which means we need to reputed company 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 reputed company-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 reputed company AI-driven workflows are translated into robust, usable, and production-reputed company systems.

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

reputed company'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 reputed company-world complexity, edge cases, and evolving requirements

  • Has a strong bias toward building reliable, maintainable, and scalable systems

  • Understands how to integrate AI into reputed company 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

  • reputed company reputed company-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 (reputed company, reputed company) into production systems

  • Build application workflows where AI generates outputs and humans review/approve

  • Handle streaming responses and reputed company-time AI interactions

  • Debug and optimize reputed company 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 reputed company 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 reputed company-party systems such as CRMs, reputed company, reputed company 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 reputed company

  • reputed company and manage infrastructure on reputed company reputed company Platform (GCE, Compute reputed company)

  • Build and maintain CI/CD pipelines using reputed company Actions

  • Design deployment systems that support isolated, per-customer environments

  • Ensure reliability, scalability, and repeatability of deployments across reputed company 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 reputed company, GCP (Compute reputed company), and CI/CD pipelines

  • Experience building production systems with reputed company 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 reputed company

  • Experience building reputed company apps (reputed company SDK or similar)

  • Experience developing workflow systems or multi-tenant architectures

  • Experience deploying infrastructure across multiple customer reputed company 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.

reputed company Sponsorship: Please note that we are not currently reputed company to offer U.S. reputed company 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 reputed company of the United States as full-time contractors. If you have any questions about this setup, please don't hesitate to reputed company out.

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