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TechTree Linkedin · Posted 24d ago

Senior Full-Stack Engineer (React/Python) (+ Equity) at YC-backed AI-native enterprise

London, Westminster, United Kingdom

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Indexed description

This is a role that TechTree is recruiting for on behalf of one of our clients.

TechTree is an AI-driven recruitment platform working with high-growth companies.

When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.

About The Role

We are seeking a Full-Stack AI Engineer to design and deploy AI agent infrastructure and deliver AI-powered features at scale. This role involves working with cutting-edge technologies to build robust, scalable systems that impact enterprise-level clients globally.

What You'll Be Doing

  • Design, develop, and maintain frontend applications using React and Next.js.
  • Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred).
  • 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 systems and multi-agent infrastructure.
  • Create data pipelines for AI model training, evaluation, and continuous improvement.
  • Mentor junior developers and promote engineering best practices.

What We're Looking For

  • 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.

Compensation & Benefits

  • Competitive salary £100,000 - £175,000 GBP + equity.
  • Performance-based incentives.
  • Opportunity to be instrumental in our expansion into the APAC market.
  • Supportive and innovative work environment.

About The Company

The client is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. The company is led by two well-known founders who have successfully sold their last two YC-backed companies. They have raised significant funding from Y Combinator and top-tier venture firms, with live deployments at prestigious global institutions. The team operates across New York, London, and Hong Kong, aiming to become the leading AI application platform for enterprise.

What is TechTree?

TechTree combines AI agents with a human support team to give candidates a better, more transparent hiring experience.

Our AI Agent gets to know your background, experience, and what you're optimising for. It continuously matches you to live roles across our network where there's genuine alignment, not just keyword overlap.

Our Human Team is there to support you through the process:

  • Answer questions about roles, process, and next steps
  • Add context when something in your background isn't obvious
  • Help unblock stalled processes or unclear feedback
  • Make sure you're not left guessing, ghosted, or wasting time

We only post real jobs. Every role on TechTree is a live, active hire.

If you apply: you'll be considered for this role, you may also be matched to other relevant roles, and if there's no fit, we won't spam you.

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