Senior AI Software Engineer - Scalable, LLM-Driven Systems

Sharegain

Greater London

On-site

GBP 90,000 - 130,000

Full time

13 days ago

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Job summary

Sharegain is seeking an experienced AI Software Engineer to join our R&D team. You will deliver scalable web applications from idea to production, handling all aspects of software development—from architecture and security to scalability and reliability.

Responsibilities include end-to-end ownership of AI & agent systems, cloud infrastructure maintenance, and driving technical excellence in a production-critical environment.

Qualifications

  • 6+ years of software development experience.
  • LLM experience: write, optimize, and measure prompts and applications; production-grade systems.
  • Strong software engineering fundamentals: SOLID, TDD, version control (Git/GitHub/GitLab).
  • Deep CS fundamentals: data structures, algorithms, computer architecture impact on performance.
  • Experience with microservices, CQRS, event sourcing patterns.
  • Experience with at least one major cloud provider (AWS, Azure, or GCP).
  • Experience designing and building microservices architectures.
  • Team player with a problem-solver mindset.

Responsibilities

  • End-to-end ownership of AI and agent systems from architecture to production.
  • Own the full model quality lifecycle from experimentation to production monitoring and improvement.
  • Cloud infrastructure design, maintenance, and troubleshooting of cloud applications.
  • Drive technical excellence, high product quality, and timely delivery in a production-critical environment.
  • Translate business needs into concrete system architectures and implement across the stack.

Skills

LLM experience
SOLID principles
TDD
Git/GitHub/GitLab
CS fundamentals
Microservices
Cloud experience
Kubernetes
Docker
Problem-solving mindset
Team player

Tools

Docker
Kubernetes
GitHub

Job description

Sharegain is seeking an experienced AI Software Engineer to join our R&D team. You will deliver scalable web applications from idea to production, handling all aspects of software development—from architecture and security to scalability and reliability.

Responsibilities include end-to-end ownership of AI & agent systems, cloud infrastructure maintenance, and driving technical excellence in a production-critical environment.

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