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.
Technical Skills (good to have)
- Programming Proficiency: Strong foundation in Python (preferred), .Net, with exposure to JavaScript or Java.
- AI/ML Fundamentals: Understanding of machine learning concepts, algorithms, and frameworks .
- Automation Testing Tools: Familiarity with tools such as Playwright for writing and executing automated test scripts.
- Software Development Practices: Knowledge of version control (Git), debugging, and code review processes.
- Workflow & SDLC Awareness: Basic understanding of software development lifecycle stages and how AI can augment engineering workflows.
Soft Skills
- Problem-Solving Mindset: Ability to break down complex problems and propose creative solutions.
- Collaboration & Communication: Comfortable working in a team, sharing ideas, and explaining technical concepts clearly.
- Adaptability & Curiosity: Eagerness to learn new tools, frameworks, and approaches quickly.
- Attention to Detail: Precision in writing test scripts and validating AI agent outputs.
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
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