About the Company

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

About the Role

We’re seeking an experienced AI Engineer to join our core team responsible for building our internal AI CodeGen platform – a productivity accelerator used by engineering teams to automate code generation, testing, and more. Your mission will be to build scalable, intelligent systems on top of LLMs that help developers focus on high-impact work by reducing manual effort across the SDLC. You’ll contribute to tools that generate code from designs, automate test cases, review code quality, and integrate deeply with GitHub, Jira, and IDEs.

Responsibilities

• Design, develop, and optimize LLM-based services for code generation, test automation, and AI copilots.
• Implement RAG workflows to combine internal context (e.g., wikis, APIs, design specs) with LLM capabilities.
• Leverage agentic frameworks to enable AI systems to take intelligent actions (e.g., generate PR-ready code or suggest test coverage improvements).
• Collaborate with engineers, product managers, and platform teams to integrate solutions into VS Code, GitHub, and CI/CD pipelines.
• Own and evolve platform architecture, from prompt engineering to model orchestration and security compliance.

Qualifications

• LLM Integration & Prompt Engineering: Experience building applications on top of GPT-3/4, Claude, or similar.
• RAG Systems: Hands-on expertise in Retrieval-Augmented Generation pipelines, vector stores, and semantic search.
• Cloud Infrastructure: Strong AWS experience (Lambda, S3, EC2, IAM); IaC with Terraform or CloudFormation.

Required Skills

• Deep Technical Proficiency in Python & TypeScript/JavaScript (backend + integrations).
• Experience with PyTorch, Transformers, and HuggingFace.
• Natural Language Understanding (NLU/NLP) for processing specs, wikis, and design inputs.
• API Design, GitHub Webhooks, and VS Code extension APIs.

Preferred Skills

• Productionizing AI copilots for internal developer workflows.
• Contributing to open-source or internal AI agents/platforms.
• Knowledge of engineering tooling or enterprise-grade compliance requirements.