April 8, 2026

Mid Fullstack Engineer

Mid • Remote

14,000 - 20,000 USD

Krakow, Poland

Overview

We're looking for a Mid Full Stack Engineer who builds end-to-end features across our Next.js frontend and Node.js backend — and uses AI tools daily to ship faster. You'll work in a modern TypeScript monorepo powering an AI-enabled platform, contributing to both the product and the AI agent infrastructure behind it. This isn't an ML research role — it's a hands-on engineering role where AI is part of your daily workflow and the product you're building.


Key Responsibilities

  • Build and ship full-stack features end-to-end in a TypeScript/Next.js/React monorepo

  • Develop and maintain backend services using Node.js, Hono, and Express

  • Work with Prisma ORM and PostgreSQL (with pgvector) and MongoDB via Mongoose

  • Contribute to AI agent workflows built on Mastra and the Vercel AI SDK

  • Use AI coding tools (Cursor, Claude, Copilot) daily to accelerate development

  • Deploy and maintain services on GCP Cloud Run with Terraform

  • Improve observability using Datadog APM/RUM and OpenTelemetry

  • Collaborate with product, design, and engineering in an agile environment

  • Write clean, testable code and participate in code reviews


Required Qualifications

Engineering (2–4 years commercial experience):

  • Strong TypeScript and JavaScript fundamentals

  • Hands-on experience with React and Next.js (App Router)

  • Backend experience with Node.js (Express, Hono, or similar)

  • Working knowledge of relational databases (PostgreSQL) and an ORM (Prisma preferred)

  • Familiarity with REST APIs and basic cloud infrastructure concepts

  • Understanding of Git workflows, CI/CD pipelines, and code quality tools (ESLint, Prettier)

  • Comfortable working in a monorepo (Turborepo experience is a plus)

AI Mindset & Tooling:

  • Regularly uses AI-assisted development tools (Cursor, Claude, GitHub Copilot)

  • Curious about LLM integrations and AI SDK patterns — willing to learn Mastra and Vercel AI SDK

  • Uses AI for real productivity gains, not just experimentation

Product & Collaboration:

  • Understands the "why" behind features, not just the "how"

  • Comfortable working closely with product and design stakeholders

  • Good English communication skills (written and spoken)


Nice-to-Have

  • Experience with Mastra or similar AI agent frameworks

  • Familiarity with GCP (Cloud Run, Cloud SQL, Artifact Registry)

  • Terraform or other IaC experience

  • MongoDB/Mongoose experience

  • Tailwind CSS and Radix UI / shadcn component libraries

  • Experience with Clerk authentication

  • Exposure to observability stacks (Datadog, Langfuse, OpenTelemetry)

  • Familiarity with Docker and containerized deployments

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Krakow, Poland

6,000 - 7,100 USD

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.