[Remote] Backend Engineer, Applied AI

Note: The job is a remote job and is open to candidates in USA. TriEdge Investments is an AI-native platform transforming asset management across the full lifecycle. As a Backend Engineer, Applied AI, you will build and improve AI systems that power the platform, focusing on document processing, entity resolution, and creating workflows for actionable insights.

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

Skills

• 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
• 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
• 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

Benefits

• Equity

Company Overview