About the Role :

Working under general supervision with moderate autonomy, you independently deliver well-scoped features from implementation through production using tools like Claude Code, Cursor, and GitHub Copilot to write better code, faster.

Responsibilities :

- You exercise sound judgment on implementation approach and quality trade-offs, with your decisions directly affecting feature delivery timelines and code maintainability.

- You consult with senior engineers on architectural decisions and raise risks that require team-level discussion.

- You will work in a highly collaborative, fast-paced environment that crosses multiple technology domains, business teams, and offices.

Qualifications :

- Proficiency using AI coding agents to accelerate development, generate and refine code, and assist with debugging and testing.

- Familiarity with prompt engineering techniques for code generation and development workflows.

- Awareness of the Model Context Protocol (MCP) and how it enables AI agents to interact with external tools and data sources.

- Working knowledge of Azure AI Foundry, Retrieval-Augmented Generation (RAG), LangChain, and graph-based data technologies (GraphRAG, GraphDB).

- Hands-on experience building applications in cloud and hybrid environments.

- Familiarity with real-time streaming or distributed messaging platforms such as Redis, Kafka, RabbitMQ, or similar.

- Experience with containerization (Docker) and CI/CD pipelines.

- Familiarity with infrastructure-as-code tools and modern DevOps practices.

- Experience with modern project management and collaboration tools (Jira, ADO, GitHub Projects, or similar).

- Agile software delivery experience (iterative planning and delivery).

Required Skills :

- Excellent communication skills, strong working relationships, and a high degree of team collaboration.

- Strong curiosity about emerging AI development tools and a desire to stay current with the evolving agentic coding landscape.

- Immediate serving NP until month end.