Senior Product / Full-Stack Engineer [3 months contract]

Profile Overview

Your immediate impact in the first 1-3 months will be:

• Become a core member of our product engineering team, shipping user-facing features across the full stack — frontend, backend, and data pipelines
• Improve existing product areas based on customer feedback and usage data, iterating quickly on what matters most to users
• Help shape the roadmap with data-backed opinions on what to build, fix, and prioritize
• Analyze usage patterns to inform development priorities and surface opportunities the team would otherwise miss
• Build LLM-driven workflows and integrations that automate data collection, analysis, and insight generation

Your responsibilities

• Own product outcomes end-to-end: from identifying user problems and prototyping solutions to shipping, measuring, and iterating
• Build the frontend experiences that surface ranking insights and analytics to users
• Develop scalable backend services and data pipelines to support new product areas and large-scale data processing
• Design and implement LLM-driven workflows — context engineering, API integrations, agentic workflows, and result evaluation at scale
• Analyze usage data and user feedback to prioritize what to build, fix, and improve
• Collaborate closely with the team on product direction — bring opinions, back them with data, and help set priorities
• Write clear documentation for the features you ship, optimized for both human and AI readability

Our Tech Stack

• Node.js (TypeScript), PHP (Laravel), React.js
• MariaDB, ClickHouse, PostgreSQL
• RabbitMQ, Redis, Debezium, Kafka

What You bring to the table

• 5+ years of full-stack development experience, with a strong track record of shipping user-facing products end-to-end
• Proficiency in Node.js (TypeScript) for backend services; knowledge of other backend languages is a plus
• Experience with a modern frontend framework (React.js or Vue.js)
• Hands-on experience building with LLMs — context engineering, API integrations (OpenAI, Anthropic, etc.), agentic workflows, and evaluation of LLM outputs
• Experience designing and building data pipelines and working with large-scale data processing
• A product mindset: you think about user problems first, not just technical implementation. You form opinions on what to build and why
• Comfort with ambiguity — you can take a vague problem, break it down, prototype fast, and iterate based on feedback
• Strong communication skills — you can explain technical decisions in terms of user and business impact
• Senior-level ownership: you plan meticulously, ship reliably, and proactively identify risks and opportunities

Nice-to-have

• Familiarity with OLAP databases like ClickHouse