Key Responsibilities:

• Design, develop, test, deploy, and maintain AI applications, AI chatbots, AI assistants, and AI agents to support business operations.

• Develop Retrieval-Augmented Generation (RAG) solutions that enable AI to answer questions from enterprise documents and knowledge bases with source citations.

• Prepare and manage AI knowledge sources such as PDFs, Word documents, Excel files, SharePoint content, relational databases, and internal enterprise data.

• Design prompts, system instructions, guardrails, and AI workflows to improve response quality, controllability, and reduce hallucination.

• Integrate AI applications with internal systems such as databases, PostgreSQL, SAP, SharePoint, REST APIs, Power Platform, and Microsoft Copilot Studio.

• Support the development of vector databases such as PostgreSQL with pgvector for semantic search and knowledge retrieval.

• Design and develop APIs or backend services required for AI integration with business systems.

• Work with users to gather requirements, analyze pain points, conduct UAT, collect feedback, and improve solutions after go-live.

• Maintain technical documentation such as architecture diagrams, system flows, data dictionaries, prompt designs, API specifications, user guides, and knowledge articles.

• Follow organizational practices for AI governance, data privacy, access control, logging, monitoring, and responsible AI.

Qualification:

• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or a related field.

• 1-3+ years of experience in AI Engineering, Software Development, Data Engineering, Automation, Backend Development, or a related role.

• Fresh graduates with strong AI, chatbot, data, software, or automation project portfolios may also be considered. • Hands-on skills in Python and SQL.

• Basic understanding of Generative AI, LLMs, Prompt Engineering, AI Chatbots, or AI Applications. • Experience or understanding of PostgreSQL, REST APIs, JSON, authentication, and data integration. • Understanding of RAG, chunking, embeddings, vector search, citation, and knowledge base design.

• Experience with or willingness to learn Microsoft Copilot Studio, Azure OpenAI, Power Platform, and Microsoft enterprise AI tools.

• Understanding of AI governance, access control, data privacy, responsible AI, and AI risks such as hallucination, data leakage, and prompt injection.

• Strong analytical, problem-solving, communication, teamwork, and stakeholder collaboration skills.

• Positive attitude, willingness to learn new technologies, and ownership from requirement gathering through go live and support.

Artificial Intelligence Engineer