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Cogniify

AI & Data Platform Engineer - India

Posted 15 Days Ago
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In-Office
Pune, Mahārāshtra, IND
Senior level
In-Office
Pune, Mahārāshtra, IND
Senior level
Design, build, and operate ETL/ELT data pipelines, data models, REST APIs, and production AI/LLM applications. Develop AI skills, agent workflows, and MCP server integrations for internal systems and business use cases. Collaborate with product, data, and engineering teams while owning reliability, quality, documentation, and deployment. The role requires independent execution, strong communication, and experience with Python, SQL, data engineering, AI application development, and platform capabilities.
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Job :AI & Data Platform Engineer

Location: Preferred Pune or Goa; other locations will also be considered

Experience: 5+ years

Role Overview

We are looking for an AI & Data Platform Engineer to design, build, and operate data pipelines and AI applications on our platform. The role combines data engineering (ETL/ELT, modeling, SQL) with hands-on LLM/AI application work — including AI skills, agent workflows, and MCP server development and integrations. You will work independently, communicate clearly with stakeholders, and ship production-ready APIs and integrations.

Key Responsibilities

  • Design, build, and maintain ETL/ELT data pipelines using Python and SQL.

  • Develop and refine data models that support analytics, AI applications, and downstream products.

  • Build and iterate on LLM/AI applications, including prompt/flow design, evaluation, and productionization.

  • Design and implement AI skills and agent workflows for real business use cases.

  • Develop and integrate MCP servers so agents and tools can reliably connect to internal systems and data.

  • Design, implement, and consume REST APIs for data and AI services.

  • Collaborate with product, data, and engineering teams to turn requirements into working platform capabilities.

  • Own quality, reliability, and documentation of pipelines, APIs, and AI components.

  • Work independently with strong written and verbal communication across teams and locations.

Required Qualifications

  • 5+ years of experience in software engineering, data engineering, or a closely related platform role.

  • Strong proficiency in Python and SQL.

  • Hands-on experience building and operating ETL/ELT data pipelines.

  • Solid understanding of data modeling for analytics and application use cases.

  • Practical experience with LLM/AI application development.

  • Experience building AI skills and agent workflows.

  • Experience with MCP server development and integrations.

  • Proven experience in REST API design and integration.

  • Strong communication skills and ability to work independently with minimal supervision.

Preferred Qualifications

  • JavaScript/TypeScript for APIs, tooling, or front-end integration.

  • Experience with cloud data platforms, orchestration tools, and production AI/LLM deployment patterns.

  • Familiarity with evaluation, observability, and governance for AI applications and agent systems.

Why Join UsWhy Join Us?

  • Join a team of industry veterans from Google, Meta, and top-tier tech companies.

  • Work on impactful, high-scale projects with leading global clients.

  • Enjoy a flexible, remote-first culture focused on innovation and excellence.

  • Competitive salary, equity options, and continuous learning opportunities.

  • Shape the future of cloud and AI infrastructure at a rapidly growing company.

Perks And Benefits Of Working With Us

  • Internet allowance

  • Laptop

  • PF

  • Paid PTO

  • Annual Bonus

  • Graduity

  • Yearly Team building experiences

  • Mentorship and sponsorship opportunities

  • Manager resources and support

  • Life & accidental insurance for additional protection.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.

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