GenAI Software Engineer Intern at NCS3

We are looking for interns to join our team in advancing Sunshine.Coder, NCS’s internal AI-powered software engineering platform that supports over 1,000 engineers across the software development lifecycle (SDLC). As part of this internship, you will contribute directly to Project Day 1 and Day 2, focusing on building AI agents to improve workflows and developing automation testing scripts to enhance reliability and efficiency. Key Responsibilities in Sunshine Coder • Agentic workflow development — Building and testing AI agents that automate software development tasks (code generation, unit testing, code review, documentation) using Claude, Cline, or OpenCode integrated with local LLMs via Ollama. • AI skill authoring — Creating reusable Claude skills (e.g., Java performance reviewer, unit test generator with self-fix loop) using the /skill-creator framework and MCP filesystem tools, directly improving engineer productivity. • Adoption analytics & observability — Helping instrument telemetry on AI tool usage (e.g., OTel/PostHog pipeline for Cline) to measure adoption and ROI across engineering squads, supporting the change management programme. • Platform feature prototyping — Contributing to features on the Sunshine.Coder web app, including authentication flows (Entra ID JWT), API gateway middleware, and OpenAI-compatible vLLM backend integration. • Engineer enablement & AI coaching — Hands-on involvement in guiding and upskilling project teams on how to effectively use AI tools in their daily workflows — covering prompt engineering fundamentals, agentic tool usage, and AI-assisted SDLC practices through workshops, pair-working sessions, and written playbooks.Key Responsibilities in Day 1 and Day 2 Project • AI Agent Development — Collaborate with the team to design and develop AI agents that enhance workflows and decision-making. • Automation Testing — Create and maintain automation testing scripts to ensure product reliability and performance. Research & Innovation — Explore emerging AI tools, frameworks, and best practices to strengthen project outcomes. • System Integration — Support integration of AI-driven solutions into existing systems and processes. • Collaboration & Review — Participate in brainstorming sessions, code reviews, and testing cycles to deliver high-quality solutions.