SDLC AI Engineer: AI Agent Architect & CI/CD Orchestrator

Test Triangle Ltd

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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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-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.

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