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Founding Engineer, Agent Systems
Posted 1 hour 3 minutes ago by C&D Talent Advisory
Permanent
Full Time
Other
Hertfordshire, Stevenage, United Kingdom, SG1 1
Job Description
Founding Engineer, Agent Systems London 
- Location: King's Cross, London
- Work model: On-site by default, with some flexibility
- Employment: Full-time
- Level: Mid-Senior / Founding Engineer
- Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles
- Estimated compensation: £130,000-£170,000 +Equity
- Industry: Enterprise AI / Agent Systems
- Environment: Seed-stage, high-growth startup
- Join a seed-stage company building AI-native risk infrastructure for regulated enterprises
- Work on production AI systems used across financial services, regulated technology, and healthcare
- Own the agent platform powering customer-facing AI features
- Build the orchestration, evaluation, and reliability layers around frontier LLMs
- Turn model capabilities into production systems that domain experts can trust
- Set engineering standards for when AI features are reliable enough to ship
- Operate with founding-team levels of ownership and technical influence
- Work in a company already generating seven-figure revenue through multi-year enterprise contracts
- Build and evolve the core agent orchestration platform
- Design multi-step agent workflows and tool-calling systems
- Build context-management and agent-scaffolding infrastructure
- Develop secure sandboxing for agent execution
- Implement prompt-injection defenses and other agent-security controls
- Build production evaluation frameworks for fuzzy, high-stakes outputs
- Curate evaluation datasets and regression suites
- Design and improve LLM-as-judge systems
- Evaluate model performance across upgrades and provider changes
- Build retries, fallbacks, and circuit-breaker mechanisms
- Own prompt versioning and AI-quality infrastructure
- Design systems around async processing, queues, and idempotency
- Define the internal standard for production AI quality
- Own AI reliability and make ship/no-ship decisions when necessary
- Strong professional backend engineering experience
- 1-2+ years of experience shipping production LLM-powered features
- Strong TypeScript or Node.js experience
- Experience building customer-facing production AI systems
- Hands-on experience with agent frameworks
- Experience with tool calling and multi-step orchestration
- Production experience building AI evaluations
- Experience with dataset curation and regression testing
- Understanding of LLM-as-judge approaches and failure modes
- Strong systems-thinking ability
- Experience with asynchronous systems and queues
- Understanding of idempotency and reliability patterns
- Strong product-engineering mindset
- Ability to own features from customer problem through production deployment
- High level of autonomy and accountability
- Based in London or able to commute regularly for an on-site-first role
- Anthropic APIs
- OpenAI APIs
- Open-weight models
- Production LLM workloads at scale
- Agent orchestration frameworks
- AI evaluation infrastructure
- Model fallback architecture
- Prompt versioning
- Prompt-injection defense
- Agent security
- Sandboxed tool execution
- Production RAG systems
- High-stakes AI applications
- Compliance
- Governance, Risk and Compliance (GRC)
- Audit technology
- Cybersecurity
- Financial services
- Regulated enterprise software
- Former founder or technical founder
- Former CTO returning to hands on engineering
- Founding or early stage engineering experience
- Experience at a high growth product company
- Experience at a leading technology or AI organization
- Significant independent AI projects or side projects
- Strong evidence of product ownership
- History of shipping customer facing systems end to end
- AI native development workflow
- Heavy use of coding agents such as Claude Code or equivalent
- Ability to move between product, backend, AI systems, and reliability work
- Strong technical judgment rather than purely research oriented expertise
- Have exclusively front end or front end first engineering experience
- Have a purely AI research background without production software engineering ownership
- Have worked primarily in Developer Relations or Developer Experience
- Have only built internal AI tools rather than customer facing production systems
- Lack meaningful backend engineering experience
- Have AI experience limited to prototypes or demos
- Prefer research over shipping production products
- Lack experience taking ownership of production reliability
- Prefer narrowly scoped engineering responsibilities
- Are uncomfortable making judgment calls around AI quality and production readiness
- Are not comfortable working primarily on site in London
- TypeScript
- Node.js
- React
- Tailwind
- Express
- Azure
- Postgres
- Terraform
- GitHub Actions
- Docker
- Anthropic first AI stack
- Claude Code
- Founding-level ownership of the agent platform
- Significant influence over AI architecture and engineering standards
- Opportunity to build production grade agent systems from an early stage
- Direct impact on customer facing AI quality and reliability
- Exposure to frontier LLM APIs in demanding production environments
- Work on technically difficult evaluation and reliability problems
- Close collaboration with company leadership
- Top decile London market compensation
- Meaningful EMI eligible equity
- Significant AI tooling and API budgets
- Daily team lunch
- Specialty coffee
- King's Cross office with roof terrace and on site facilities
- Fast-moving engineering environment with high autonomy
C&D Talent Advisory
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