SDLC AI Engineer

Test Triangle Ltd; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

London-based Zohorecruit is seeking an experienced AI Engineer to architect and maintain advanced AI agents for coding and automation within GitHub workflows. You will develop evaluation frameworks, governance for prompt libraries, and integrate AI into CI/CD pipelines and MCP servers.

You will collaborate with cross-functional teams to embed AI-driven processes into core SDLC methodologies, driving standardisation and high coding standards across engineering teams.

Qualifications

• Advanced expertise in Python or TypeScript.
• Knowledge of Rust, Golang, or Java is desirable.
• Deep knowledge of GitHub stack and CI/CD integration.
• Experience with AI frameworks and agent-based architectures.
• Ability to write clear, reusable prompts and maintain coding standards.

Responsibilities

• Architect and maintain advanced AI agents for coding and automation within GitHub workflows.
• Develop evaluation frameworks to ensure AI solutions meet technical standards before deployment.
• Develop and govern prompt libraries, instruction sets, and standards for consistency across teams.
• Integrate AI solutions with CI/CD pipelines and MCP servers to automate development cycles.
• Collaborate with cross-functional teams to embed AI-driven processes into core SDLC methodologies.

Skills

Python

TypeScript

Rust

Golang

Java

CI/CD

GitHub

AI

Prompts

Tools

GitHub workflows

Claude Code

Codex

CI/CD tooling

Job description

London, United Kingdom

Key Responsibilities:

• AIAgent Engineering & Tuning:Architect and maintain advancedAI agents for coding and automation within GitHub workflows. Thisincludes the active building, performance tuning, and refinementofagentic logic to ensure optimal performance.
  
• Evaluation& Quality Assurance:Implement robust evaluationframeworksto ensure that all AI-driven solutions meetestablished technical standards and best practicesbeforedeployment.
  
• Standardisation(Prompt Ops):Develop and govern prompt libraries,instruction sets, and organizational standards to ensure consistency andreliability in AI usage across all engineering teams.
  
• SystemOrchestration:Integrate AI solutions seamlessly with CI/CDpipelinesand Model Context Protocol (MCP) serverstocreate automated, end-to-end development cycles.
  
• StrategicCollaboration:Partner with cross-functional engineering teams toembed AI-driven processesdirectly into core SDLCmethodologies.
  

Technical Requirements:

• ProgrammingProficiency:Advanced expertise in Pythonor TypeScript.Professional experience with Rust, Golang, or Javais highlydesirable.
  
• EcosystemExpertise:Deep knowledge of the GitHub stack, Claude Code orCodex,including hands-on experience with CI/CD integrationandcomplex automation tools.
  
• ArchitecturalInsight:A comprehensive understanding of AI frameworksand agent-based architectures, moving beyond simple prompts tomulti-step agentic workflows.
  
• EngineeringStandards:The ability to write clear, reusable prompts andSkills while maintaining the highest coding standardsanddocumentation.