AI Software Engineer — Autonomous Agents & Scalable Cloud

Sharegain; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Sharegain is seeking an experienced AI Engineer to join our R&D team in London. You will deliver scalable web applications from idea to production, taking care of all aspects of software development—from architectures to deployment and AI-powered workflows.

Responsibilities include end-to-end ownership of AI and agent systems, cloud infrastructure design, and ensuring production-grade reliability in a microservices environment.

Qualifications

• 6+ years of software development experience.
• Proven LLM experience: prompts, models, production systems.
• Strong software engineering fundamentals: SOLID, TDD, Git.
• Deep CS fundamentals: data structures, algorithms, architecture impact.
• Familiarity with microservices, CQRS, event sourcing.
• Experience with at least one cloud provider: AWS, Azure, or GCP.
• Experience with Kubernetes and Docker containers.
• Experience designing/building microservices architecture.

Responsibilities

• End-to-end ownership of AI & agent systems from architecture to production.
• Own AI-native features such as autonomous agents and intelligent workflows.
• Cloud infrastructure design, maintenance, monitoring, and troubleshooting.
• Drive technical excellence and production-grade reliability in a production-critical environment.
• Translate business needs into concrete system architecture across the stack.

Skills

Software development experience

LLM experience

SOLID principles

TDD

Version control (Git)

CS fundamentals

Microservices architecture

Cloud providers (AWS/Azure/GCP)

Kubernetes

Docker

Problem-solving mindset

Tools

Kubernetes

Docker

Job description

Sharegain is seeking an experienced AI Engineer to join our R&D team in London. You will deliver scalable web applications from idea to production, taking care of all aspects of software development—from architectures to deployment and AI-powered workflows.

Responsibilities include end-to-end ownership of AI and agent systems, cloud infrastructure design, and ensuring production-grade reliability in a microservices environment.