AI Fullstack Engineer

Primary Roles & Responsibilities▸ At SDE-2 you will build, and maintain end-to-end RAG pipelines — from ingestion and chunking to retrieval and LLM response synthesis ▸ Design and develop MCP (Model Context Protocol) servers that power AI agents and multi-step workflows ▸ Development on Next.js / React.js frontend modules for our AI product suite ▸ Own PostgreSQL database design — schema modelling, indexing strategy, query optimisation, and migration management ▸ Integrate third-party AI APIs (Gemini, OpenAI, Anthropic, etc.) and open-source models into production-grade applications  ▸ Work directly with Founders for product and leadership to scope features, estimate effort, and make architectural recommendations ▸ Stay ahead of the AI engineering curve — evaluate new tools, frameworks, and models and bring recommendations to the team ▸ Deep hands-on experience with RAG: multi-stage retrieval, re-ranking, hybrid search, prompt engineering ▸ Experience building or extending MCP servers — understanding of tool calling, context passing, and agent orchestration ▸ Strong proficiency in Next.js and React.js — you've built production UIs with proper state management, routing, and performance considerations ▸ PostgreSQL expertise: advanced queries, indexing, schema design for complex domains, migrations in production ▸ TypeScript proficiency — you write it by default, not as an afterthought ▸ Experience with at least one vector database (pgvector, Pinecone, Weaviate, Qdrant) Good to Have: ▸ Experience with streaming LLM responses, tool/function calling, and multi-agent frameworks ▸ Familiarity with LangChain, LlamaIndex, or custom agentic implementations ▸ Exposure to cloud infrastructure (AWS / GCP / Azure) and containerisation (Docker) ▸ Knowledge of frontend design systems, Tailwind CSS.▸ Prior experience working directly with product or business stakeholders