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AI Consultant (Contract)

Roles & Responsibilities

  • B.Tech degree in Computer Science, AI/ML, Data Science, Electronics, or a related field (2024 or 2025 pass-out)
  • Demonstrable hands-on experience with AI tools through projects, hackathons, internships, or self-built solutions
  • 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)

Requirements:

  • Build and maintain an AI-powered HR chatbot, design and test conversation flows, digitize HR policy documents, and continuously improve accuracy
  • Automate HR operations such as leave tracking, onboarding/exits, and automated dashboards, while distributing key HR metrics to executives and managers
  • Automate performance management and talent acquisition workflows, including cycle reminders, data aggregation, and real-time dashboards for HR leadership
  • Develop and test AI-enabled finance automation, including invoice processing, expense categorization, anomaly detection, and automated reporting

Job description

Narvar is Growing! We are looking for a high-potential B.Tech graduate with a strong foundation in Artificial Intelligence and process automation to join our team as an AI Consultant for a 12-month engagement. You will work directly on high-impact projects that use AI to automate and transform our HR and Finance functions.

This is a senior internship role with real ownership and accountability. You will be expected to independently drive projects end-to-end — from understanding the problem, designing the solution, building and testing it, and handing it over to business teams. You will work closely with senior HR and Finance leaders, and your output will directly affect how hundreds of employees experience these functions.

Given the compensation and duration, we expect candidates who can demonstrate either strong academic performance in AI/ML, prior projects, or hands-on experience with AI tools. Fresh thinking combined with technical seriousness is what we are looking for.

Day-to-day

HR Projects

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

What we’re looking for

  • 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

Bonus points

  • 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

What you will earn

  • By the end of this internship, you will have hands-on experience that most fresh graduates do not get from classroom learning alone:
  • How to build and deploy a working AI chatbot using real enterprise tools
  • How to design automated workflows that replace manual, repetitive tasks
  • How to work with HR and Finance stakeholders to understand their pain points and translate them into technical solutions
  • Practical exposure to AI tools, APIs, and no-code platforms used in Indian companies
  • How to document, test, and hand over a technical project to a non-technical team
  • Real experience you can put on your resume and explain confidently in interviews

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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