HR AI Projects

About the Role

We are looking for an individual to support our AI for HR transformation initiatives. The role will involve understanding HR processes, identifying opportunities for automation and intelligent intervention, and determining whether a use case is best addressed through AI Agents, Generative AI, Chatbots, RPA, Machine Learning, or traditional technology solutions. Candidates should be able to understand the business/process problem first and then identify the most appropriate technology solution.

Key Responsibilities

• Understand HR processes across areas such as HR Operations, Recruitment, Employee Experience, Payroll, Learning, Benefits and Attendance.
• Analyse process flows, dependencies, data, decision points and manual interventions.
• Identify opportunities to simplify, digitise, automate or intelligently automate HR processes.
• Evaluate the appropriate technology approach — RPA, AI Agents, GenAI, Chatbots, ML, APIs or traditional workflows.
• Develop AI agents, bots and automation solutions, including Proofs of Concept (PoCs).
• Work with LLMs, APIs, automation platforms and AI/ML technologies.
• Support data analysis, model development and validation of AI outputs where required.
• Challenge existing processes and design improved future-state processes.
• Test solutions, identify edge cases and support pilot implementation.
• Document use cases, solution approaches, learnings and recommendations.

Requirements & Tech Stack

• Hands-on exposure to AI/ML and Generative AI.
• Experience building AI Agents, Chatbots or Bots.
• Python or another programming language.
• Understanding of LLMs, APIs and system integrations.
• Basic Machine Learning knowledge.
• Exposure to RPA/automation tools such as UiPath, Power Automate or Automation Anywhere.
• Understanding of prompt engineering and LLM workflows.
• Experience building AI Agents / Agentic AI workflows.
• Exposure to frameworks such as LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.
• Experience integrating LLMs with APIs/tools.
• Academic or personal projects involving AI, automation or ML.
• SQL/database knowledge is an advantage.

Qualifications

• Candidates pursuing or recently completing a degree in Computer Science, AI, ML, Data Science, IT, Software Engineering, Electronics or related disciplines.
• Candidate with strong hands-on AI/automation projects.
• Experience: Freshers, Recent Graduates, or Final-Year Students.