Middle FullStack Developer (Python/Node.js/TypeScript)

We’re building Project Apollo, a multiplatform Al-powered document system serving hundreds of thousands of users every month: We need a Engineer who ships end-to-end: someone who thinks like a product owner, codes like a craftsperson, and reaches for Al-native tooling by default.

What You Will Do

• Build and maintain the core Apollo multiplatform document system. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL, Databricks integration & data layers.
• Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report caro
• Design and orchestrate agentic Al workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function
• Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why.
• Build, maintain, and extend automation pipelines and connect them with Al agents, extermal APis, webhooks, and cloud services on GCR
• Contribute to database schema design (PostgreSQL, BigQuery), build and maintain RESTful APls, and help manage our cloud infrastructure on Google Cloud Platform.

What You Will Bring

• Python fluency, you can quickly build and utilise a wide range of libraries when the task calls for it.
• 2-5 years of full-stack experience in a high-output team. You know how to balance speed with quality and when to choose one over the other.
• Deep Python, TypeScript & React proficiency on the frontend (Hooks, Context API, Vite, Shadcn Ul) and backend (Node.js, Express, REST APls, PostgreSQL).
• You have taste. You can distinguish between good and bad UX, and you can share examples to demonstrate it.
• You’re Al-native. You reach for agents by default, understand MCP and agentic orchestration patterns, and have built guardrails to trust them more and more. Python proficiency for rapid prototyping is a must.
• You’re self-driven and business-aware. You care about solving real problems and moving the needle on metrics, not just shipping features. Give you context, and you’ll find the leverage.

Bonus Points

• Previous hands-on experience with LLMs in production, prompt tuning, RAG pipelines, vector databases (Pinecone, Weaviate), or agentic frameworks (Lang Graph, CrewAl).
• Familiarity with LLM observability tools (Langfuse, LangSmith) and cloud platforms (GCP).
• A genuine passion for Al and a habit of staying on the frontier: new models, protocols (MCP, A2A), and developer tooling.

Why You’ll Love Working With Us

• High-impact role in a small, agile team building a greenfield product with real scale potential.
• Modern, carefully selected tech stack with Al at the core, not bolted on.
• Startup energy backed by the resources and stability of a large, successful company.
• A collaborative culture that values open communication, ownership, and a shared passion for building exceptional products.