C&D Talent Advisory
Founding Engineer, Agent Systems
Watford
£130k – £170k/yr
Posted about 18 hours ago
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This is a role that TechTree is recruiting for on behalf of one of its clients.
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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
About the opportunity
- 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
What you'll own
- 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
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What we're looking for
- 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
Particularly valuable experience
- 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
Strong profile signals
- 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
This role may not be the right fit if you
- 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
Technical environment
- TypeScript
- Node.js
- React
- Tailwind
- Express
- Azure
- Postgres
- Terraform
- GitHub Actions
- Docker
- Anthropic-first AI stack
- Claude Code
What you'll get
- 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
If this sounds like a fit, we'd love to hear from you. Apply today!
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Skills
TypeScript
Node.js
LLM Orchestration
AI Evaluation
Backend Engineering
Agent Frameworks
Tool Calling
Prompt Engineering
Asynchronous Systems
RAG Systems
System Design
Product Engineering
API Integration
Security Controls
Dataset Curation
Idempotency
Location