Architect and maintain context frameworks for Copilot Coding Agents across multiple repositories and projects
Curate and manage prompt engineering strategies to improve agent performance
Integrate Copilot agents into CICD pipelines and development environments
Collaborate with product managers and developers to align Copilot context with business logic and technical requirements
Monitor and analyze agent outputs for accuracy relevance and efficiency
Develop documentation and training materials for engineering teams on best practices for context configuration
Required Skills Experience :
5 years in software engineering with experience in AI assisted development tools
Deep understanding of GitHub Copilot prompt engineering and LLM based agent orchestration
Proficiency in Python, JavaScript, TypeScript or other modern programming languages
Experience with GitHub Actions CICD workflows and DevOps practices
Familiarity with SDLC phases and agile methodologies
Strong communication and collaboration skills
Experience as a Full Stack Developer with proficiency in Java Spring Boot and Angular
Ability to model contextual relationships across frontend and backend codebases to optimize Copilot agent performance
Preferred Qualifications :
Experience with vector databases embeddings and retrieval augmented generation RAG
Knowledge of OpenAI Codex LangChain or similar frameworks
Prior work in developer productivity or AI enablement teams
(ref : hirist.tech)
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