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.
\nWhat You Will Do
\n• 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.
\n• 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
\n• 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
\n• Collaborate with engineers, designers, and leadership to shape the product roadmap. You'll have a real voice in what gets built and why.
\n• Build, maintain, and extend automation pipelines and connect them with Al agents, extermal APis, webhooks, and cloud services on GCR
\n• Contribute to database schema design (PostgreSQL, BigQuery), build and maintain RESTful APls, and help manage our cloud infrastructure on Google Cloud Platform.
\nWhat You Will Bring
\n• Python fluency, you can quickly build and utilise a wide range of libraries when the task calls for it.
\n• 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.
\n• Deep Python, TypeScript & React proficiency on the frontend (Hooks, Context API, Vite, Shadcn Ul) and backend (Node.js, Express, REST APls, PostgreSQL).
\n• You have taste. You can distinguish between good and bad UX, and you can share examples to demonstrate it.
\n• 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.
\n• 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.
\nBonus Points
\n• Previous hands-on experience with LLMs in production, prompt tuning, RAG pipelines, vector databases (Pinecone, Weaviate), or agentic frameworks (Lang Graph, CrewAl).
\n• Familiarity with LLM observability tools (Langfuse, LangSmith) and cloud platforms (GCP).
\n• A genuine passion for Al and a habit of staying on the frontier: new models, protocols (MCP, A2A), and developer tooling.
\nWhy You'll Love Working With Us
\n• High-impact role in a small, agile team building a greenfield product with real scale potential.
\n• Modern, carefully selected tech stack with Al at the core, not bolted on.
\n• Startup energy backed by the resources and stability of a large, successful company.
\n• A collaborative culture that values open communication, ownership, and a shared passion for building exceptional products.
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