Application Deadline: 30th May 2025 We are seeking an experienced Senior Developer to lead the engineering behind our Core AI Orchestration Platform, leveraging LangGraph, LangChain, and cutting-edge LLMs. You’ll design, build, and scale a multi-agent system for document parsing, contract validation, and workflows, with a focus on performance, explainability, and real-time traceability. You will get an opportunity to shape a next-gen AI product with a true global team and work with edge tools (LangGraph, Claude, GPT-4.1) You will work at the intersection of backend APIs, AI pipeline orchestration, and frontend dashboards, bringing together structured reasoning, vision models, and document intelligence. Apply now and help us build the orchestration layer powering the next generation of intelligent systems. Key Responsibilities Implement multi-agent workflows using LangGraph and LangChain, enabling conditional routing, tool invocation, and memory-based decisions. Integrate LLMs (Claude 3, GPT-4.1) and Vision models (Claude Opus, OpenAI Vision) f or document understanding and structured output generation. Build robust APIs using FastAPI, including support for async processing, webhook-based triggers, and job queues. Implement PDF/DOCX parsing pipelines using Textract, Unstructured.io, and combine with RAG-based retrieval for clause-level reasoning. Manage and optimize data pipelines leveraging Supabase Postgres, pgvector, and Amazon S3 f or structured and unstructured storage. Build internal tools and dashboards using Next.js, React, and Tailwind CSS for audit workflows, feedback loops, and reviewer management. Own deployment and DevOps workflows. Set up observability and testing infrastructure using LangSmith or LangFuse, with monitoring. Requirements 6+ years of hands-on development experience (Python + JS preferred) Deep understanding of LLM integration, prompt engineering, and RAG systems Proven experience building async-ready APIs and document processing pipelines Strong understanding of Postgres schemas, joins, indexing, and pgvector usage Familiarity with Next.js and frontend best practices DevOps comfort with EC2, Docker, and CI/CD Bonus: Experience with LangGraph, LangSmith, or Bedrock/OpenAI SDKs Prior experience with multi-agent LLM systems Background in document intelligence or compliance tooling Experience scaling real-time dashboards for multi-user environments. Show more Show less