At a Glance
- Tasks: Lead the design of AI solutions in the Software Development Life Cycle using GitHub.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic role with potential for significant impact in enterprise-level transformations.
- Why this job: Shape the future of software engineering with cutting-edge AI technology.
- Qualifications: Expertise in Python or TypeScript; experience with GitHub and CI/CD integration.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a highly skilled Software Engineer with recent coding experience to lead the design and implementation of intelligent solutions across the Software Development Life Cycle (SDLC), specifically leveraging the GitHub ecosystem. This role is focused on architecting and integrating sophisticated AI-driven workflows, including specialized coding agents, custom agents, and comprehensive Skills libraries, while ensuring all solutions adhere to rigorous engineering standards.
Key Responsibilities:
- AI Agent Engineering & Tuning: Architect and maintain advanced AI agents for coding and automation within GitHub workflows. This includes the active building, performance tuning, and refinement of agentic logic to ensure optimal performance.
- Evaluation & Quality Assurance: Implement robust evaluation frameworks to ensure that all AI-driven solutions meet established technical standards and best practices before deployment.
- Standardisation (Prompt Ops): Develop and govern prompt libraries, instruction sets, and organizational standards to ensure consistency and reliability in AI usage across all engineering teams.
- System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles.
- Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC methodologies.
Technical Requirements:
- Programming Proficiency: Advanced expertise in Python or TypeScript. Professional experience with Rust, Golang, or Java is highly desirable.
- Ecosystem Expertise: Deep knowledge of the GitHub stack, Claude Code or Codex, including hands-on experience with CI/CD integration and complex automation tools.
- Architectural Insight: A comprehensive understanding of AI frameworks and agent-based architectures, moving beyond simple prompts to multi-step agentic workflows.
- Engineering Standards: The ability to write clear, reusable prompts and Skills while maintaining the highest coding standards and documentation.
Have the candidates operated in large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new…leading/guiding/designing how old style meets new style of engineering.
SDLC AI Engineer employer: Test Triangle Limited
Join a forward-thinking company that prioritises innovation and excellence in the realm of AI-driven software development. As an SDLC AI Engineer, you'll thrive in a collaborative environment that fosters professional growth and encourages the exploration of cutting-edge technologies. With a commitment to rigorous engineering standards and a culture that values strategic partnerships across teams, this role offers a unique opportunity to shape the future of intelligent solutions within a dynamic and supportive workplace.
