Full Stack Engineer

Introduction

Our client builds intelligent software products that help customers make better decisions faster. They're a small, international, fast-moving team that values clean architecture, pragmatic decisions, and shipping features customers actually use. As a Full-Stack Engineer, you'll help build and scale the product end to end — from the database to the browser.

About the Role

We're looking for a Full-Stack Engineer who's comfortable owning a feature from idea to production: designing the data model, building the API, and shipping a polished UI. You'll work closely with product, design, and our AI engineering team to bring new capabilities to life across the stack.

Duties & Responsibilities

What You'll Do

• Design, build, and ship features across the full stack — from database schema and backend services to frontend UI.

• Build and maintain RESTful APIs that power our web application and integrations.

• Develop responsive, accessible, and performant user interfaces using modern frontend frameworks.

• Collaborate with product and design to turn requirements into technical specs and shippable increments.

• Write clean, well-tested, maintainable code, and participate actively in code review.

• Improve application performance, reliability, and security across the stack.

• Work with our AI engineering team to integrate AI-powered features into user-facing product surfaces.

• Contribute to architecture decisions, tooling, and engineering best practices as the team and product scale.

• Monitor, debug, and resolve production issues, and contribute to on-call rotations as needed.

Desired Experience & Qualification

What We're Looking For

• 5+ years of professional experience building full-stack web applications in production.

• Strong frontend skills: TypeScript and React, with experience building production-grade UIs.

• Strong backend skills: Python (FastAPI, Django, or similar), with experience designing and building APIs and services.

• Practical experience designing and working with relational databases (PostgreSQL, MySQL) and writing efficient queries.

• Experience building and consuming REST APIs.

• Experience integrating AI/LLM-powered features into a product — calling LLM APIs, working with retrieval-augmented generation (RAG) or vector search, or partnering with ML/AI teams to ship model-backed functionality.

• Familiarity with cloud infrastructure (Azure, AWS, or GCP), CI/CD pipelines, and containerization (Docker).

• Strong understanding of software engineering fundamentals: testing, version control, code review, and system design.

• Proficiency working with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development, while critically reviewing and validating AI-generated code.

• Comfort working in a remote, async-first environment with strong written communication skills.

Nice to Have

• Familiarity with infrastructure-as-code (Terraform) and observability tooling (Datadog, Grafana, Sentry).

• Familiarity with vector databases or embedding-based search for AI-powered features.

• Background working in a startup or small, cross-functional team.

• Exposure to design systems and component libraries.

Why Join the team

• Own features end to end, with real influence over product and architecture decisions.

• Work alongside a tight-knit, senior engineering team building for real customers.

• Will start as fully remote and will move to a