AI Specialist

ROLE OVERVIEW

You will not be building AI products - you will be making the team dramatically faster and smarter by deploying AI across workflow automation, data visualization, content production, competitive intelligence, and reporting. The output is not code; it is leverage. Every process you automate, every dashboard you build, and every insight you surface should free the team to do higher-order work.

KEY DETAILS

Location: Kolkata

Experience: 2+ years, with strong applied AI and data visualization portfolio

WHAT YOU WILL OWN

• AI workflow automation: building Make / n8n pipelines that replace manual, repeatable work across the team

• Data visualization: building real-time dashboards (React / Recharts / Looker Studio) for performance, marketplace, and brand metrics

• Prompt engineering and LLM deployment: designing and maintaining prompt systems for content generation, competitive intelligence, and insight extraction

• Competitive and social intelligence: building and operating scraping + AI pipelines for marketplace reviews, Reddit/Quora signals, and category trends

• Reporting automation: replacing manual weekly/monthly reports with automated, stakeholder-ready outputs.

• AEO support: managing AI visibility tracking tooling and prompt library maintenance

• Tool evaluation: staying current on AI tooling and recommending adoption based on team leverage, not hype

MUST-HAVE EXPERIENCE

• Built production-grade automation workflows using Make, n8n, Zapier, or equivalent - not just templates

• Strong data visualization skills: built dashboards that non-technical stakeholders actually use daily

• Hands-on with the Claude, OpenAI, or Gemini APIs - not just the chat interfaces

• Comfortable with JavaScript or Python at a scripting level: can parse API responses, clean data, write pipeline logic

• Experience with web scraping tools (Apify, Bright Data, Playwright) or structured data extraction

• Can translate a vague team pain point into a scoped automation brief and ship it

NICE-TO-HAVE

• Prior experience in a marketing team or agency - understands what performance marketers actually need

• Experience with Google Sheets / BigQuery as a data layer

• Knowledge of Meta Ads API or Amazon SP-API for programmatic data pulls

• Familiarity with AEO / GEO concepts and AI visibility tracking platforms (Profound, Peec AI, AthenaHQ)

• Has built a social listening or competitive intelligence system end-to-end

WHAT WE WILL MEASURE YOU ON

• Number of manual hours saved per month through automation (tracked, not estimated)

• Dashboard adoption rate: % of team using AI-built dashboards as primary reporting surface

• Time-to-insight: reduction in turnaround time for weekly and monthly performance reports

• Quality of competitive intelligence outputs: actionability rated by leadership

• Tool and prompt library maintenance: freshness and usage rate