Senior Software Developer - LTX Studio Infra Team

Lightricks
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

Senior Machine Learning Engineer (AI Platform)

Naimuri - Senior Data Scientist

Principal Data Scientist

Senior Data Scientist, Sports

Who we are

Lightricks an AIfirst company is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation Lightricks is dedicated to bringing cuttingedge technology to the creative and business spaces.

Our advanced AI photo and video generation models including our opensource LTXV model power our apps and platforms including Facetune Photoleap Videoleap and LTX Studio allowing creators and brands to leverage the latest research breakthroughs offering endless control over their creative potential. Our influencer marketing platform Popular Pays provides creators the ability to monetise their work and offers brands opportunities to scale their content through tailored creator partnerships.

What you will be doing

You will be part of LTX Studios Infrastructure Team. Our team is responsible for developing and maintaining the foundational software and platform infrastructure that powers our revolutionary video creation platform built with bleeding edge generative AI technology. We ensure the reliability scalability and performance of our systems allowing product teams to focus on creating magical experiences. We practice software engineering best practices value technical excellence and collaborate closely with other teams to create an optimal development environment.

Your daytoday job will involve:

  • Designing developing and maintaining core infrastructure components including databases APIs backend services and monitoring systems
  • Collaborating with DevOps on Kubernetes cluster management and deployment pipelines
  • Architecting and implementing scalable backend solutions that support our AIdriven platform
  • Troubleshooting and resolving infrastructurerelated issues across the platform
  • Optimizing system performance and reliability through continuous monitoring and improvements
  • Creating and maintaining internal developer tools and utilities
  • Participating in code reviews and mentoring junior developers
  • Working closely with product teams to understand their infrastructure needs and requirements
  • Develop endtoend features

Your skills and experience

  • 5 years of experience in backend/infrastructure development
  • Strong knowledge of database systems (SQL / NoSQL) and data modelling
  • Experience with containerisation technologies and Kubernetes
  • Familiarity with cloud platforms (AWS GCP or Azure)
  • Proficiency in at least one backend programming language such as Go Python Node.js or Java
  • Experience building and maintaining RESTful and/or GraphQL APIs
  • Understanding of backend architecture patterns and distributed systems
  • Experience with monitoring tools and observability platforms
  • Knowledge of CI/CD pipelines and deployment automation
  • Ability to optimise systems for performance reliability and scalability
  • Experience with message queues and eventdriven architectures
  • Understanding of Generative AI and Machine Learning infrastructure requirements a bonus
  • Experience supporting highperformance computing workloads a bonus

Benefits

  • Stock Options.
  • Private Medical Insurance (Optical & Dental cover) including your loved ones.
  • Life Assurance.
  • 3000p/a Transport Allowance.
  • 750p/a allowance for Wellbeing & Professional Development.
  • Free onsite lunches coffee breakfast & snacks.
  • Pension Contributions 7.
  • Holiday 25 days).
  • Seasonal & Anniversary Vouchers.
  • Hybrid & Flexible working.
  • Cool office space in central London.
  • Enhanced Parental Leave.
  • Cycletowork Scheme.
  • Season Ticket Loan.
  • Volunteering Opportunities.
  • Frequent social activities awaydays happy hours team building yoga creative workshops.

#LICK1

#LIHYBRID


Required Experience:

Senior IC


Key Skills
Spring,.NET,C/C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems
Employment Type :Full Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.