Luke Weekes

We're working exclusively with a well-funded, venture-backed AI software company that's transforming complex enterprise workflows through applied AI. As part of its next phase of growth, the company is looking for a Senior Engineer to own the document intelligence layer that powers its core platform. This is a high-impact engineering role focused on building reliable systems that convert complex, real-world documents into structured data used by AI applications in production. If you enjoy solving difficult problems around OCR, document parsing, extraction quality and data reliability, this is an opportunity to own a mission-critical area of the product. What you'll be working onDesigning and improving OCR and document extraction pipelinesBuilding systems that process PDFs, spreadsheets, scanned documents, images and other structured and unstructured dataImproving extraction accuracy, reliability and performance across production workloadsDeveloping validation frameworks, confidence scoring and quality assurance toolingPartnering with AI engineers to prepare high-quality data for LLM-powered workflowsInvestigating extraction failures and continuously improving system performanceBuilding monitoring, evaluation and observability tools for document processing pipelinesWorking closely with product and domain experts to support increasingly complex customer workflows  We're looking for someone with5 years of software engineering experienceStrong backend engineering fundamentalsExperience building production document processing, OCR, ETL or data extraction systemsExperience working with PDFs, spreadsheets, scanned images or other document formatsStrong debugging skills and an obsession with data quality and correctnessAbility to work independently and take ownership of critical platform components Nice to haveExperience with OCR, Computer Vision, Document AI or information extraction technologiesExperience integrating LLMs into production document workflowsExposure to financial services, accounting, legal technology, insurance or other document-heavy industriesExperience building evaluation frameworks or quality measurement systemsExperience operating large-scale document processing pipelines Why this opportunity?Own a core platform capability that directly impacts product quality and customer experienceSolve technically challenging problems involving OCR, document intelligence and AIWork alongside experienced engineers in an AI-native environmentHigh levels of ownership with significant technical influenceCompetitive compensation, meaningful equity and the opportunity to build technology used in production by enterprise customers

We're partnering with a well-funded, venture-backed AI software company that's building cutting-edge products at the intersection of AI, automation and enterprise workflows.As the business scales rapidly, they're looking to hire a Senior Software Engineer to build the internal AI systems that enable the company to operate faster, smarter and with significantly more leverage.This isn't a customer-facing product engineering role. Instead, you'll work directly with leadership and cross-functional teams to identify operational bottlenecks and build AI-powered tools that eliminate manual work across the business.What you'll be working onDesigning and building internal AI applications that improve company-wide productivityDeveloping LLM-powered tools for knowledge management, recruiting, customer operations and business workflowsAutomating repetitive processes across Sales, Customer Success, Operations, Product and ImplementationIntegrating internal systems including Slack, CRM platforms, ticketing systems, documentation and workflow toolsBuilding intelligent reporting, search and decision-support systemsPartnering directly with internal stakeholders to understand problems and rapidly ship solutionsUsing modern AI tooling, agents and automation frameworks to create leverage across the organisationWe're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack development experienceExperience building internal platforms, automation tooling or AI-enabled applicationsHands-on experience with LLMs, AI agents, workflow automation or API integrationsStrong product mindset with the ability to understand business problems and translate them into softwareComfortable working autonomously in a fast-moving, ambiguous environmentExcellent communication skills and high ownershipNice to haveExperience building AI tooling for internal business operationsFamiliarity with Slack, CRMs, Linear, Notion, Confluence or similar internal platformsExperience working in a high-growth startup environmentExposure to RevOps, Customer Success systems, recruiting technology or business operationsA track record of turning manual processes into scalable softwareWhy this opportunity?Build AI products that have an immediate impact across an entire businessWork directly alongside experienced founders and senior leadershipHigh levels of autonomy with real ownership from day oneOpportunity to shape how an AI-native company scales internallyCompetitive salary, meaningful equity and the chance to work on genuinely challenging engineering problems

We're partnering with a well-funded, venture-backed AI software company that's building mission-critical AI products for enterprise customers. They're looking for a Senior Engineer to join the team responsible for their flagship AI product, helping build production-grade AI systems that solve complex, real-world workflows where accuracy, reliability and trust are essential. This is an opportunity to work on far more than prompt engineering—you'll design, build and scale agentic AI systems that customers depend on every day. What you'll be working onBuilding and shipping production LLM-powered product featuresDesigning agentic workflows capable of solving complex, multi-step business problemsImproving retrieval, reasoning, orchestration and AI system reliabilityDeveloping robust RAG pipelines, tool-calling frameworks and evaluation systemsPartnering closely with product teams and domain experts to translate customer workflows into AI-native experiencesBuilding AI systems that perform reliably in production—not just impressive demosInvestigating AI failure modes and continuously improving model performance and user experienceCollaborating with platform engineers to improve observability, scalability and reliability  We're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack engineering fundamentalsExperience building production software productsHands-on experience with LLMs, AI agents, RAG, workflow orchestration or AI-enabled applicationsStrong product mindset with the ability to solve ambiguous customer problemsComfortable working cross-functionally with engineers, product managers and domain expertsHigh ownership and excellent communication skillsNice to haveExperience building production LLM applications at scaleExperience with agent frameworks, retrieval systems, evaluation frameworks or tool-calling architecturesExperience working in regulated or high-trust industries such as financial services, legal technology, compliance or enterprise SaaSExperience building AI products around complex document workflowsPrevious startup experience in a fast-paced engineering environmentWhy this opportunity?Build AI products used by real enterprise customers every daySolve genuinely difficult problems in applied AI—not experimental prototypesWork alongside experienced engineers in an AI-native companyHigh ownership with direct influence over the product roadmapCompetitive salary, meaningful equity and significant technical impact from day one