Fullstack Engineer (AI-Powered SAP Consultant Platform)

The Role

We are seeking a high-caliber Fullstack Engineer to join a fast-moving team dedicated to building production-grade applications from the ground up. This is a role for a true builder—someone who thrives on end-to-end ownership, from translating broad business requirements into technical architecture to deploying and monitoring robust systems. If you are a self-directed engineer who balances speed with architectural integrity and enjoys the challenge of integrating AI and complex data pipelines, this is the place for you.

Key Responsibilities

• Architect, build, and maintain complete web applications and backend services from concept through to production.
• Design and implement responsive frontend interfaces, complex user flows, and internal dashboards.
• Develop and manage APIs, background workers, scheduled jobs, and automated processing pipelines.
• Integrate third-party APIs, LLMs (agentic workflows, tool calling), and data-ingestion systems, including authorized scraping.
• Oversee cloud deployment, infrastructure monitoring, and CI/CD pipelines to ensure high system resilience.
• Perform load-testing and stress-testing to preemptively address bottlenecks and scaling issues.
• Maintain a focus on cost-conscious engineering, optimizing cloud, database, and AI token consumption.

Requirements

• Proven track record of end-to-end ownership, having personally built and shipped complete applications.
• Advanced proficiency in JavaScript / TypeScript and modern frontend frameworks (React, Next.js).
• Strong backend experience with Python, Node.js, or similar technologies.
• Deep understanding of relational database design (PostgreSQL) and event-driven architectures (Redis, Queues).
• Experience with major cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
• Ability to work independently in a fast-paced environment, identifying the simplest viable technical approach to solve complex problems.
• Excellent communication skills with the ability to explain technical tradeoffs and risks to non-technical stakeholders.

Nice-to-Haves

• Experience building AI-powered products or sophisticated data platforms.
• Familiarity with vector databases (Elasticsearch/OpenSearch) and NoSQL environments.
• Background in developing SaaS applications, marketplaces, or high-volume search tools.
• Experience with browser automation and large-scale data extraction.

About the Company

A fast-growing, post-revenue AI startup is building an AI-powered SAP Consultant platform for enterprise customers. The company works with DAX 40 and Fortune 500 clients.