Senior AI Software Engineer – Python/TypeScript & LLM

Client Server Limited; Manchester; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Pension

Healthcare (dental & optical)

Personalised training budget

Wellness experiences & gym subsidy

Volunteer days

Career progression opportunities

Job summary

Client Server Limited in Manchester is seeking an AI Software Engineer to develop Python/TypeScript backed AI features and scalable production systems. Hybrid work model with three days in the office and two from home, focusing on LLM-powered applications and scalable cloud deployments.

You will collaborate with product and engineering teams, contribute to the full development lifecycle, and help shape AI integration, reliability and monitoring across services.

Qualifications

• Strong backend software engineering skills with Python and TypeScript.
• Experience building scalable production apps with large user bases.
• Practical experience with LLMs and AI applications, including RAG or agentic workflows.
• Familiarity with AI reliability, evaluation and production monitoring.
• Experience with AWS and CI/CD pipelines.
• Strong communication and collaboration skills, capable of mentoring others.

Responsibilities

• Design, build and deploy AI-powered features.
• Work across Python and TypeScript backends for LLM-powered apps.
• Develop scalable, reliable, production-ready systems.
• Contribute to architecture decisions and AI integration across the product.
• Participate in end-to-end development lifecycle from prototyping to production.

Skills

Python programming

TypeScript

LLM development

AI application development

Cloud infrastructure

Communication & collaboration

Tools

AWS

CI/CD pipelines

Job description

Client Server Limited in Manchester is seeking an AI Software Engineer to develop Python/TypeScript backed AI features and scalable production systems. Hybrid work model with three days in the office and two from home, focusing on LLM-powered applications and scalable cloud deployments.

You will collaborate with product and engineering teams, contribute to the full development lifecycle, and help shape AI integration, reliability and monitoring across services.