Job Specifications
About The Company
The client is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This role will work alongside two well-known founders who successfully sold their last two YC-backed companies. The company has already raised double figures from Y Combinator and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.
About The Role
Seeking a Full-Stack Engineer with 5+ years experience in React/Next.js, Python, and AI systems to design and deploy AI agent infrastructure and deliver AI-powered features at scale.
They are seeking a highly skilled Full-Stack Engineer with at least 5 years of professional experience. The ideal candidate has a strong background in building modern web applications, has experience in React/Next.js, experienced with backend development (Python preferred), and has hands-on exposure to infrastructure, DevOps, and AI system development.
This role will own and drive large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning, and evaluation frameworks. Responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure — while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines.
Key Responsibilities
Design, develop, and maintain frontend applications using React and Next.js.
Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome).
Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
Ensure scalability, performance, and security across the stack.
Implement CI/CD pipelines, automated testing, and monitoring solutions.
Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure).
Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
Build real-world AI use cases by integrating fine-tuned models and large language model APIs into user-facing products.
Create data pipelines for AI model training, evaluation, and continuous improvement.
Mentor junior developers and promote engineering best practices.
Requirements
5+ years of professional software engineering experience
Proven experience with React and Next.js in production environments
Strong backend development skills (Python preferred)
Solid understanding of relational and/or NoSQL databases
Experience with Git and collaborative development workflows
Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
Experience implementing background workers and task queues (Celery, RQ, etc.)
Proficiency with Redis for caching, pub/sub, or job queues
Hands-on experience building and deploying AI applications in production environments
Experience implementing RAG pipelines, AI agent orchestration, model fine-tuning, and performance monitoring
Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety
Required Skills
React
Next.js
Python
Django
FastAPI
AWS
GCP
Azure
Docker
Kubernetes
CI/CD pipelines
Redis
Celery
RQ
AI system development
RAG (Retrieval-Augmented Generation) systems
multi-agent infrastructure
model fine-tuning
performance monitoring
LLM evaluation techniques
Git
collaborative development workflows
problem-solving skills
Benefits
Reporting directly to the founders
Competitive salary £100 - 200 K GBP + equity
Performance-based incentives
Opportunity to be instrumental in our expansion into the APAC market
Supportive and innovative work environment
Team members
two well-known founders
Salary: 100000 - 200000 GBP
Equity: equity, Equity is part of the compensation package along with a competitive salary and performance-based incentives.