Fullstack Engineer (AI, Distributed Systems, Automation)

What You’ll Do

• Develop and contribute to end-to-end features across SaaS products and internal tools, collaborating with senior engineers on architecture and implementation decisions.
• Build modern, high-performance frontends using Next.js and React.js.
• Develop scalable backend services using Node.js / NestJS.
• Design and integrate APIs, including REST, WebSockets, and external services.
• Build and maintain automation workflows and background jobs.
• Work with async systems, queues, and event-driven architectures.
• Integrate third-party services with real-world constraints, including rate limits, retries, and auth flows.
• Use AI tools to improve development speed, testing, and automation.
• Collaborate directly with product, data, and leadership teams.
• Build MVPs, proof-of-concepts, and new product ideas from scratch.
• Rapidly validate business ideas through experimentation and iteration.
• Help evolve successful prototypes into production-ready systems.

AI & Automation

This role includes working with modern AI tooling and automation systems, with a strong focus on speed, ownership, and execution:

• Use tools such as Claude Code, Cursor, and OpenAI SDK in daily development.
• Build AI-driven workflows and integrations quickly and iteratively.
• Automate repetitive processes, including data handling, content, and integrations.
• Apply LLMs in production with a pragmatic, results-first approach.
• Take ownership of problems from idea to production.
• Ship fast, test in real conditions, and iterate based on outcomes.
• Be accountable for delivery and make solutions work end to end.
• Prioritize execution over perfection.

What We’re Looking For

• 2.5+ years of professional full-stack experience.
• Strong frontend skills in React.js / Next.js.
• Backend experience with Node.js; NestJS preferred.
• Experience integrating external APIs, including auth, pagination, retries, and rate limits.
• Hands-on experience with modern AI tools such as OpenAI, Claude, and Cursor.
• Good SQL skills; PostgreSQL preferred.
• Experience with async processing, queues, and background jobs.
• Understanding of reliable systems, including error handling, retries, and observability.
• Strong communication skills and ability to work cross-functionally.
• Fluent English and Polish.

Nice to Have

• Experience with Rust, including async, Tokio, and Axum.
• Experience with Elixir, including Phoenix LiveView and GenServer.
• Understanding of distributed systems and architectures.
• Experience with multi-region deployments and geo-distributed infrastructure.
• Experience building high-parallelism systems with large numbers of concurrent job-processing workers.
• Familiarity with distributed databases and data-consistency trade-offs.
• Experience with multi-tenancy architectures, including tenant isolation and scaling strategies.
• Experience with high-throughput event pipelines.

Our Tech Stack

• Frontend: Next.js, React.js.
• Backend: Node.js, NestJS, Golang, Elixir, Rust.
• Data: PostgreSQL, BigQuery, ClickHouse.
• Infrastructure: AWS, Fly.io, Google Cloud, DigitalOcean.
• Queues & Workers: LavinMQ, BullMQ, Kafka.
• CI/CD: GitLab CI.
• AI/ML & Automation: Proprietary GenAI models, OpenAI, Claude, internal tooling.
• Integrations: REST, gRPC, WebSockets, external APIs with rate limits.

Why Join Us?

• Work on high-scale SaaS systems processing hundreds of millions of events daily, with real-time pipelines and data-heavy workloads.
• Ownership from day one, with influence over architecture, technology choices, and product direction.
• Collaborate with engineers, AI specialists, and product managers.
• Explore cutting-edge frameworks and architectures in an innovation-first culture.
• Fast execution with minimal bureaucracy and no unnecessary meetings.
• Opportunity to work with modern AI tooling in production.
• Competitive senior-level compensation and career growth.
• Contribute to automation products that empower businesses and communities.

Our Streamlined Hiring Process

• Initial call.
• Technical deep dive with the team.
• Decision.