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Huzzle is a talent placement platform connecting exceptional engineers with top-tier opportunities at leading companies across the UK, US, Canada, Europe, and Australia. This role places you directly in-house with a fast-growing, post-revenue AI startup building an AI-powered SAP Consultant platform for enterprise customers, including DAX 40 and Fortune 500 clients.
You will join a high-velocity team as a Fullstack Engineer with end-to-end ownership of production-grade applications. This is a role for builders who thrive on translating business requirements into technical architecture and shipping robust systems.
Key Responsibilities:
- Architect, build, and maintain complete web applications and backend services from concept through production deployment.
- 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.
