Backend Engineer, Applied AI at TriEdge Investments in New York City

Summary: Hypha is an AI-native platform transforming asset management across the full lifecycle. As a Backend Engineer, Applied AI, you will build and improve the AI systems that power the core of the platform, focusing on document processing pipelines and entity resolution systems. Responsibilities: - Design and build AI agent workflows — document extraction, entity resolution, and data structuring - Build reliable backend infrastructure — queues, pipelines, and orchestration using Inngest and Supabase - Work with PostgreSQL at depth — schema design, query optimization, and data modeling for complex financial data - Instrument, monitor, and debug AI pipelines — understanding failure modes and building guardrails - Develop and optimize prompt chains, tool-use patterns, and retrieval strategies - Collaborate with product and frontend engineers to expose AI capabilities through the product Required Qualifications: - Strong backend fundamentals — You're experienced with Node.js/TypeScript, PostgreSQL, and building reliable server-side systems. You understand concurrency, queuing, and data pipeline design - Applied AI experience — You've built products with LLMs; whether that's agent architectures, RAG systems, extraction pipelines, or tool-use patterns. You understand the practical challenges of working with non-deterministic systems - Systems thinking — You can reason about how components interact at scale. You think about failure modes, retries, observability, and cost when designing AI workflows - Pragmatic engineering — You ship working systems, not research prototypes. You know when to optimize and when good enough is good enough - AI-fluent — You use AI coding tools daily and know how to wield them effectively as a multiplier on top of strong fundamentals Preferred Qualifications: - Experience with workflow orchestration tools (Inngest, Temporal, Step Functions) - Experience with OCR, document processing, or financial data extraction - Familiarity with OpenAI and Anthropic APIs, function calling, and structured outputs - Early-stage startup experience Required Skills: Node.js, PostgreSQL, AI agent workflows, Document processing Important Skills: Workflow orchestration tools, LLMs experience, Data pipeline design Nice-to-Have Skills: Systems thinking, Pragmatic engineering, AI-fluent, Early-stage startup experience Benefits: Equity