AI Consultant

Job Description:

Responsibilities

• Chatbot & Knowledge Management
• Build and maintain an AI-powered HR chatbot that answers employee questions about policies, leave, payroll, and benefits
• Design and test conversation flows for the chatbot — writing instructions, testing responses, and continuously improving accuracy
• Help digitise and organise HR policy documents so the AI can read and reference them correctly
• Analyse common employee queries to identify gaps in HR documentation and recommend content updates
• HR Operations Automation
• Automate repetitive HR tasks such as leave tracking, onboarding checklists, exit checklists, and document collection using appropriate tools
• Build AI agents that monitor, update, and distribute HR dashboards to Executives and Managers — reducing manual reporting effort
• Design automated workflows that surface key HR metrics (headcount, attrition, leave utilisation) to the right stakeholders at the right time
• Performance Management Automation
• Automate performance review cycle processes — reminder workflows, form collection, status tracking, and escalation nudges
• Build tools to aggregate and visualise performance data for managers, removing manual consolidation from spreadsheets
• Design AI-assisted pipelines to flag review completion rates, identify bottlenecks, and generate summary reports for HR leadership
• Talent Acquisition & Recruitment
• Build dashboards and automated reports tracking talent acquisition metrics — pipeline volume, source effectiveness, time-to-offer, and offer acceptance rates
• Design AI-assisted application review workflows to help the recruitment team prioritise and triage high volumes of applications faster
• Automate candidate communication touchpoints such as acknowledgement emails, status updates, and interview scheduling reminders
• Create tools that surface hiring funnel analytics to Hiring Managers and HR leadership in real time
• Finance Projects
• Automate routine finance workflows such as invoice processing, expense categorisation, and reimbursement tracking
• Build simple AI-assisted tools to flag anomalies or inconsistencies in financial data
• Create automated reports and dashboards using Google Sheets or similar tools, reducing manual data entry
• Assist in mapping existing manual finance processes and proposing AI-based alternatives
• Test and document automation tools before they are rolled out to the finance team

Qualification & Experience 

• B.Tech degree in Computer Science, AI/ML, Data Science, Electronics, or related branch — 2024 or 2025 pass-out
• Demonstrable hands-on experience with AI tools — projects, hackathons, internships, or self-built tools all count
• Working knowledge of Python — able to write scripts, use libraries, and debug independently
• Strong understanding of at least one AI/ML concept: LLMs, NLP, classification, automation pipelines, or similar
• Comfortable working with Google Workspace (Docs, Sheets, Drive) and cloud-based tools
• Excellent written communication in English — you will be writing specifications, documentation, and chatbot content
• Ability to manage your own work, meet deadlines, and proactively communicate blockers
• Experience with LLM APIs — OpenAI, Anthropic Claude, or Google Gemini
• Prior internship or freelance project involving AI, automation, or data — even if short
• Familiarity with no-code/low-code tools: Zapier, Make, Botpress, Flowise, or similar
• Basic understanding of HR or Finance workflows from coursework, projects, or prior exposure
• A GitHub profile, portfolio, or any public evidence of what you have built
• Experience with prompt engineering, RAG pipelines, or building chatbots