Founding Engineer

Location:

London, UK / San Francisco, CA (Onsite – 5 Days/Week)

Company Stage of Funding:

Seed-Stage AI + Agentic AI + Enterprise SaaS

Office Type:

Onsite (5 Days/Week)

Salary:

$160,000 – $220,000 Base

Equity:

0.8% – 1.2% Equity

Bonus:

Competitive Total Compensation

Visa:

O-1 Sponsorship Available

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Company Description

Our client is building the trust layer for enterprise by creating agentic AI systems that automate audit, compliance, and risk workflows traditionally performed manually by large enterprise teams.

The platform leverages modern LLMs and agent architectures to process highly unstructured enterprise data, transforming spreadsheets, audit evidence, compliance records, and operational documentation into auditable and traceable outputs.

Backed by a leading venture capital firm and already serving Fortune 500 and Magnificent Seven customers, the company has achieved strong early product-market fit and is rapidly scaling its engineering team.

The platform powers:

• Agentic AI Workflows
• Enterprise Audit Automation
• Compliance Operations
• AI-Powered Risk Management
• Unstructured Data Processing
• Spreadsheet Intelligence
• Enterprise Knowledge Systems
• LLM-Based Automation
• Workflow Orchestration
• Enterprise Decision Support

Engineering challenges include:

• Enterprise-grade AI agent development
• LLM orchestration systems
• Agent evaluation frameworks
• Unstructured data processing pipelines
• Spreadsheet and document intelligence
• Human-in-the-loop workflows
• Enterprise-scale AI deployments
• Full-stack product ownership
• AI reliability and auditability
• Customer-facing enterprise software

The company operates at the intersection of AI, enterprise software, compliance, and workflow automation, offering engineers the opportunity to build category-defining AI products with direct customer impact.

The culture values:

• Ownership
• Curiosity
• Entrepreneurial Thinking
• Technical Excellence
• Product Sense
• Customer Obsession
• Speed
• Pragmatism
• Learning Velocity
• End-to-End Execution

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What You Will Do

• Build and scale the backbone of the company's core AI platform
• Develop enterprise-grade AI agents that automate audit and compliance workflows
• Design and implement systems that process highly unstructured enterprise data
• Build full-stack product features from concept through deployment
• Own agent orchestration, evaluation, and workflow infrastructure
• Develop data processing pipelines that transform raw enterprise data into structured outputs
• Build customer-facing product experiences and internal tooling
• Design backend architectures and APIs supporting AI workflows
• Improve AI system reliability, traceability, and performance
• Collaborate directly with enterprise customers to understand requirements
• Help shape product roadmap and technical strategy
• Build deployment infrastructure and operational tooling
• Own features from design through production deployment
• Contribute to architecture and engineering standards
• Participate in technical design reviews and product discussions
• Work closely with founders on company and product direction
• Establish engineering best practices as an early team member
• Help scale the engineering organization as the company grows
• Operate with significant ownership across the entire product stack

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Ideal Candidate Background

• 4+ years of software engineering experience
• Experience shipping AI-powered or agentic products to production
• Strong full-stack engineering experience
• Experience building enterprise-grade B2B software
• Experience owning products end-to-end
• Strong TypeScript experience
• Experience working with LLM APIs and AI systems
• AWS infrastructure and deployment experience
• Experience building data processing pipelines
• Experience operating in startup or early-stage environments
• Strong product ownership mindset
• Experience building customer-facing software products
• Strong backend architecture and API design skills
• Experience scaling production systems
• Strong communication and collaboration skills
• Comfortable working directly with customers when needed
• Ability to thrive in highly ambiguous environments
• Strong technical judgment and execution

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Strong Signals

AI & Product Engineering Signals

• Shipped AI products to production
• Built agentic AI systems
• Experience with LLM orchestration
• Prompt engineering experience
• Agent evaluation frameworks
• AI workflow automation experience
• End-to-end AI product ownership
• Enterprise AI deployments

Founder & Startup Signals

• Founder experience
• Founding engineer experience
• Early employee at startup
• Startup CTO experience
• Built products from scratch
• Entrepreneurial mindset
• Significant ownership history
• Experience operating on small teams

Enterprise Software Signals

• B2B SaaS experience
• Enterprise software experience
• Customer-facing product ownership
• Compliance or audit workflow exposure
• Enterprise automation products
• Workflow management systems
• Data-heavy product experience
• Customer discovery involvement

Bonus Signals

• Audit technology experience
• Compliance software experience
• Risk management platforms
• Financial operations products
• Enterprise workflow automation
• Spreadsheet intelligence systems
• Document processing systems
• Customer-facing technical leadership

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Compensation & Benefits

• Base Salary: $160,000 – $220,000
• 0.8% – 1.2% Equity
• O-1 Visa Sponsorship Available
• Significant Ownership and Autonomy
• Founding Engineer Opportunity
• Direct Access to Founders
• Opportunity to Shape Product Roadmap
• Enterprise Customer Exposure
• High-Growth Startup Environment
• Early Equity Upside
• Small Team with Outsized Impact
• Strong Product-Market Fit
• Career Growth Opportunity

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Why Join

This is an opportunity to become one of the first engineers at a company that has already achieved meaningful product-market fit with Fortune 500 customers.

Rather than maintaining existing systems, you'll help define the future of enterprise AI by building agentic workflows that automate highly complex and historically manual processes.

You'll work across the entire stack, from AI infrastructure and data processing pipelines to customer-facing product experiences and enterprise deployments.

The role offers a rare combination of AI innovation, founding-level ownership, enterprise customer exposure, and significant equity upside.

If you enjoy building products from scratch, working directly with founders and customers, and shaping the future of enterprise AI, this role offers exceptional scope and career upside.