CTO / Co-Founder

The role

We are looking for a hands-on Founding CTO / Technical Co-Founder to own the entire technology architecture and engineering roadmap.

This is a builder role. You will be expected to write code, make architectural decisions, build production systems, validate technical assumptions and eventually lead the engineering team.

You will work directly with the founder to turn an existing product direction and MVP into a robust, scalable commercial platform.

Technical ownership and responsibilities1. AI systems and agent orchestration

• Architect multi-agent systems for specialised financial, legal, commercial and compliance workflows.
• Build reliable agent orchestration, state management, task execution and error recovery.
• Implement structured outputs, tool calling, human-in-the-loop workflows and deterministic validation.
• Design evaluation frameworks to measure factual accuracy, hallucinations, completeness and reproducibility.
• Optimise inference costs, latency, model selection and throughput.

2. Document intelligence

• Build ingestion pipelines for PDFs, spreadsheets, scanned documents, presentations and large data rooms.
• Implement OCR, table extraction, financial data normalisation and document classification.
• Develop cross-document reconciliation and entity resolution.
• Preserve document provenance, page-level references and evidence trails.

3. Financial intelligence

• Build financial statement parsing and reconciliation engines.
• Automate P&L, balance sheet and cash-flow analysis.
• Develop bank statement transaction classification, reconciliation and anomaly detection.
• Build financial modelling and validation workflows.
• Detect inconsistencies between management representations and underlying financial evidence.

4. Data infrastructure and verification

• Integrate government APIs, corporate registries, regulatory databases and third-party data providers.
• Build robust ETL pipelines, data normalisation and source reconciliation.
• Develop independent verification and contradiction detection systems.
• Implement auditable source tracking, evidence mapping and confidence scoring.

5. Product and infrastructure

• Own backend architecture, APIs, databases and system design.
• Design secure multi-tenant infrastructure and data access controls.
• Build asynchronous processing, queues, job orchestration and scalable workloads.
• Own deployment, monitoring, observability, testing and CI/CD.
• Make infrastructure decisions balancing reliability, performance and cost.

Required technical capabilities

We are looking for demonstrable experience in:

• Python and production backend engineering.
• REST APIs, integrations and asynchronous processing.
• PostgreSQL, data modelling and database optimisation.
• LLM APIs, structured generation, tool calling and agentic systems.
• RAG, embeddings, vector databases and retrieval evaluation.
• Document processing, OCR and structured data extraction.
• ETL, data engineering and distributed processing.
• Cloud infrastructure, Docker, deployment and monitoring.
• Security, authentication and multi-tenant application design.
• Testing, debugging and production incident management.

You should be able to explain the architecture and trade-offs behind systems you have personally built.

Evidence of execution: mandatory application requirements

We will prioritise demonstrated execution over degrees, certifications or years of experience.

Please provide:

1. GitHub / code samples: Links to repositories containing code you personally wrote. Explain your specific contribution.

2. Live products: Links to applications, APIs or systems you have built and deployed.

3. Architecture proof: A system architecture diagram or technical write-up of a complex system you have designed.

4. Production evidence: Users, transactions, throughput, latency, uptime, accuracy, cost or other measurable outcomes.

5. AI implementation: Examples of agentic systems, document intelligence, RAG or LLM-based products that have gone beyond prototypes.

6. Technical ownership: Clearly distinguish what you personally built from what your team or other developers implemented.

7. References: At least one former technical manager, engineering colleague, co-founder or collaborator who can validate your contribution.

Applications without demonstrable technical work may not be shortlisted.

Preferred experience

• FinTech, financial services, enterprise SaaS or investment technology.
• Financial statement analysis, accounting systems or financial modelling.
• Regulatory and government API integrations.
• Large-scale document processing and data extraction.
• Building AI products with measurable accuracy requirements.
• Experience taking an early-stage MVP to production.
• Prior startup founding or early engineering team experience.

What we are looking for beyond technical skills

• Founder mentality and willingness to take long-term ownership.
• Ability to challenge assumptions and make independent technical decisions.
• Strong product judgement, not just engineering execution.
• Comfort working in a resource-constrained startup.
• Ability to recruit, evaluate and build a strong engineering team.
• A genuine interest in building a company rather than seeking a conventional CTO title.

About KUBR

KUBR is building an AI-native diligence and verification platform for private-market investing, VC, PE and M&A.

The platform takes pitch decks, Information Memorandums, financial statements, legal documents and other deal-room materials as inputs, and automates comprehensive financial and legal due diligence.

Our objective is to compress weeks of analyst work into hours, producing:

• Financial Due Diligence (FDD)
• Legal Due Diligence (LDD)
• Financial statement analysis and reconciliation
• Bank statement analysis and transaction verification
• Customer and revenue validation
• Promoter, company and regulatory verification
• Investment Committee (IC) notes and memos
• Financial models and investment analysis
• Source-linked findings, contradictions and evidence trails

A critical part of the architecture is independent verification. We integrate government APIs, regulatory databases and external data sources rather than relying exclusively on information supplied by companies.

We are building an independent technology platform, not an LLM wrapper.

The opportunity

This is a genuine technical co-founder opportunity with meaningful equity participation, subject to experience, commitment and mutual fit.

You will have ownership of KUBR's technology roadmap, architecture, engineering standards and future technical organisation.

We are looking for someone who wants to build and own the underlying technology