Founding Engineer

MARC builds AI-native infrastructure that connects enterprise contracts with accounts payable and financial systems. The Founding Engineer will build and scale backend infrastructure for document processing, contract analysis, invoice verification, search, and customer-facing APIs, with end-to-end ownership from design through production.

Responsibilities

• Async processing pipelines: multi-step pipelines for document ingestion, AI extraction, deduplication and cross-document verification, with progress tracking, retries and graceful failure
• Search and data layer: Elasticsearch indices, mappings and query patterns that power search, filtering and reconciliation across millions of records; PostgreSQL schema design and optimisation in a multi-tenant setup
• APIs: scalable, maintainable RESTful services with proper multi-tenant isolation
• AI reliability: evaluation frameworks and automated test suites that measure and validate the output of AI-driven and deterministic workflows alike
• End-to-end ownership: from design through to production, with the occasional contribution to the frontend (Nuxt, Tailwind) when needed

Skills

• Production experience with Node.js and TypeScript, building services and APIs
• Schema design, query optimisation, migrations
• Production experience designing indices, writing queries and tuning performance across large datasets
• Job-queue frameworks (BullMQ, SQS or similar) for orchestrating multi-step async processing
• A strong automated-testing mindset, and familiarity with building evaluation frameworks for AI-driven pipelines
• A good understanding of security principles across the network, transport and application layers
• You see what needs doing and do it without waiting to be asked; you make decisions with incomplete information and own the outcome either way
• 4-6 years in backend or full-stack development, ideally at a high-growth tech or SaaS company
• Large-scale data extraction and ingestion pipelines, particularly where AI pulls structured data out of unstructured sources such as documents, contracts or invoices
• Multi-tenant schemas, connection pooling, migration strategies across tenant databases
• Docker and deploying to AWS ECS
• Temporal or similar pipeline-orchestration frameworks; pub/sub and event-driven architectures
• LangGraph or similar agent-orchestration frameworks

Benefits

• Significant equity
• 401(k)
• Medical and dental insurance fully paid

Company Overview

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