SDLC AI Engineer

SDLC AI:

We are seeking a highly skilled Software Engineer with

recentVibe 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.

· Note:

·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. Often we see inexperienced developers hopping onto Claude to be

hyper productive but have limited insight how to apply that in the complex

enterprise landscape like LBG.

· Feedback for few profiles:

·the first guy xxxxx - very terse, difficult to get coherent

responses, very narrow exposure to SDLC - talked about agile but not the

process of delivery - not a leader/shaper, a mid to junior level developer with

claude on cv.

·The second guy xxxxxx- had good/relevant experience some

years ago, was better conversatonally, but lacked the kind of sharp/concise and

relevant responses to direct questions about Enterprise SLDC, considerations

towards agentic, etc. No doubt he has a rich career but don't see him

facing into the CTO/CDAO leaders to address a particular complex assertion and

value proposition. On reading the CV's i did have high hopes for those 2 but

unfortunately the interviews lacked substance.