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Pearl

Senior AI & Analytics Engineer

Pearl · India

Posted about 3 months ago

or apply directly on Pearl's site. We never take the application ourselves.

Is this posting real?

This role has been open
75 days
Pearl's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Pearl's roles list one
Ghost-job risk at Pearl
high
12 stale, 2 reposted of 14 open
Hiring momentum
21 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Pearl's own greenhouse board since 2026-08-03. Full hiring picture for Pearl.

About this role

The Senior AI & Analytics Engineer role at Pearl involves building and maintaining scalable data pipelines and AI-powered applications to enhance analytics capabilities. You will work with product and business teams to analyze data, create metrics, and develop tools that facilitate data interaction and insight generation. This hands-on role requires a blend of analytics engineering and applied AI expertise to support business decision-making and improve data-driven processes.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pearl as an employer.

What you need

  • 6+ years of hands-on experience in analytics engineering, data engineering, product/business analytics, applied AI, or a related technical role
  • Strong proficiency in SQL and Python
  • Experience designing scalable, end-to-end architectures integrating data platforms, services, APIs, AI components, and user workflows
  • Experience with B2C, product, or customer analytics, including defining and applying metrics such as retention, funnels, cohorts, conversion, and customer lifetime value (LTV)
  • Demonstrated experience personally building and deploying at least one LLM-powered application used by real users, leveraging RAG, tool/function calling, or agents
  • Hands-on experience with at least one orchestration or agent framework, such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, or similar

Nice to have

  • Experience with AI evaluation, monitoring, guardrails, or Responsible AI practices in production
  • Built conversational analytics, an analytics copilot, or text-to-SQL / natural-language data experiences
  • Worked with semantic layers, governed metrics, or enterprise metric definitions
  • Experience with Google BigQuery, Google Analytics, OpenMetadata, Microsoft Fabric, Power BI, Databricks, Snowflake, Azure AI Foundry, Azure OpenAI, or Claude
  • Experience with vector databases, semantic search, or MCP server development

Worth weighing

  • No salary listed
  • Role involves a significant hands-on component, which may not suit candidates looking for a more strategic or managerial position
  • The position requires direct collaboration with product and business teams, which may involve navigating complex stakeholder relationships

Summarised from Pearl's posting. Read the full original.

Listed by Pearl on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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