Forward Deployed Engneer

Cavendish Professionals; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Job summary

Cavendish Professionals is seeking a customer-facing Full-Stack / Forward Deployed Engineer to bridge user problems and AI deployment. You’ll design, build, and ship production-grade solutions, working directly with enterprise clients to deliver high-velocity, production-ready architectures.

The role demands React/TypeScript/Python expertise, experience deploying AI-enabled applications, and a strong client-facing, problem-first engineering mindset. Hybrid London-based with travel.

Qualifications

• Hands-on full-stack development experience shipping production code with React, TypeScript, and Python.
• Commercial exposure to building and deploying AI-enabled applications (using LangChain or Vercel AI SDK).
• Exceptional client-facing communication skills and ability to conduct technical problem discovery.
• UK-based location with up to 50% travel for deployments.

Responsibilities

• Partner enterprise customers to translate high-impact problems into scalable architectures.
• Design, build, and deploy end-to-end full-stack applications and AI-driven workflows.
• Take technical ownership of client delivery and iterate based on feedback.
• Integrate AI frameworks directly into customer workflows.
• Ensure deployed solutions meet enterprise standards for security, scalability, and resilience.

Skills

Full-Stack Engineer

Forward Deployed Engineer

Client-facing communication

System design

Education

STEM degree

Tools

LangChain

Vercel AI SDK

Job description

Customer-Facing Full-Stack / Forward Deployed Engineer (FDE) | React, TypeScript & Python | AI-Enabled Production Solutions

Our client, an in-house technology consultancy of a global consulting firm, is seeking an entrepreneurial, customer-facing Full-Stack / Forward Deployed Engineer (FDE) to bridge the gap between user problems and real-world AI deployment. In this role, you will work directly with clients to diagnose critical business bottlenecks and personally architect, build, and ship production-grade, AI-enabled solutions at high velocity.

What You’ll Be Doing:

• Partnering directly with enterprise customers to understand high-impact operational problems and translate them into scalable, production-ready technical architectures.
• Personally designing, building, and deploying end-to-end full-stack applications and AI-driven workflows from concept to production.
• Taking complete technical ownership of client delivery, iterating rapidly based on user feedback and changing requirements.
• Integrating cutting-edge AI frameworks (LangChain, Vercel AI SDK) and LLM-powered capabilities directly into customer workflows.
• Ensuring that deployed solutions adhere to rigorous enterprise standards for security, scalability, and system resilience.

What We’re Looking For:

• 1–5 years of commercial experience as a Full-Stack Engineer or Forward Deployed Engineer (FDE).
• Proven track record (minimum 1+ year) of shipping production code in a customer-facing, high-velocity startup or agile environment.
• Strong technical foundation across React, TypeScript, Python, and modern AI frameworks (e.g., LangChain, Vercel AI SDK).
• Problem-first, product-minded engineering approach: focused on solving the underlying customer problem rather than being tied to a specific framework.
• Robust understanding of system design, distributed architectures, and scalable cloud deployments.
• Background as an ex-founder, founding/early startup engineer (teams of 1–20), or Palantir-style Forward Deployed Engineer is highly attractive.
• Strong STEM degree from a recognized university.

Must-Haves:

• Hands-on full-stack development experience shipping production code with React, TypeScript, and Python.
• Commercial exposure to building and deploying AI-enabled applications (using frameworks like LangChain or Vercel AI SDK).
• Exceptional client-facing communication skills and ability to conduct technical problem discovery.
• UK-based location and full flexibility for up to 50% UK and international travel for customer deployments.

Location & Working Setup:

• Hybrid Work Model - London 4 days in the office with up to 50% UK/international travel to client sites.
• High degree of autonomy with collaborative support from global engineering squads.