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# Forward Deployed Engineer

- **Company:** Jobtailor
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Iterative and Incremental Development, Python (Programming Language), Software Engineering, TypeScript, Information Technology, Golang
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2830497895-forward-deployed-engineer

## About the Role

* 2+ years of professional software engineering, with software shipped end to end.
 * Strong proficiency in at least one general-purpose language (Python, TypeScript, Go, or similar).
 * Ability to work across the stack and learn unfamiliar systems quickly.
 * Bachelor's in Computer Science or equivalent practical experience.
 * Willingness to travel to client sites as needed., Demonstrates strong software engineering capabilities with a focus on end-to-end project ownership, utilizing general-purpose programming languages like Python, TypeScript, or Go. Proficient in building and maintaining production systems while effectively collaborating with customers to understand their needs and constraints., * End-To-End Project Ownership
 * Proficiency In Python
 * Proficiency In TypeScript
 * Proficiency In Go
 * Software Engineering Experience, * Software Engineering
 * Production Systems Development
 * API IntegrationPrototyping
 * Iterative Development, * Customer Collaboration
 * Problem Solving
 * Adaptability, * Bachelor's In Computer Science, * AI Implementation
 * Software Shipped
 * Client Engagement

Tools & Technologies

 * Luma APIs
 * Internal Tools

## Description

* Work directly with customers to understand their workflows, constraints, and goals, and define the problem yourself.
 * Build production systems on Luma's APIs, models, and internal tools.
 * Prototype, ship, iterate, and maintain systems customers depend on in real environments with real data.
 * Own projects end to end, from first conversation to deployed system.
 * Build around platform gaps when something's missing, and feed recurring patterns back to platform and R&D to productize.
 * Use AI to accelerate implementation, while the core of the work stays engineering judgment: what to build and how to make it reliable.


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- [Your next 10x engineer isn't in your city. Refactor accordingly.](https://www.wearedevelopers.com/videos/100103-your-next-10x-engineer-isn-t-in-your-city-refactor-accordingly)

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