AI & Data Platform Engineer - India at Cognify… · Pune

AI & Data Platform Engineer - India — Cogniify

Location: Pune, India / Hyderābād, India / Ahmedabad, India / Chennai, India / Bengaluru, India / Noida, India · Visa sponsorship: no

Job Title: AI & Data Platform Engineer / Software 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.