Job Description:

Role Summary

Build full-stack data products as a hands-on engineer on the Decisioning practice. You write production code across the stack: Python APIs that expose data and AI capabilities, and React/Tailwind front ends that put those capabilities in users' hands. You use Claude Code and Cursor as everyday tools and bring a careful eye to QA and data quality, even early in your career.

Key Responsibilities

• Develop features across the full stack: data transformations, Python APIs, and React/Tailwind front ends
• Write Python APIs (FastAPI or similar) that connect data foundations and AI models to client-facing applications
• Use Claude Code and Cursor as primary development tools to ship features efficiently while keeping code quality high
• Contribute to agentic AI features when applicable: tool integrations, prompt patterns, and wrappers around data and models
• Write unit, integration, and data validation tests, and help maintain observability on the pipelines and apps you ship
• Participate in code reviews and design discussions, learning from senior engineers and contributing your own ideas
• Document your work clearly so other engineers and stakeholders can pick up and extend it
• Partner with the Senior Full Stack Engineer and onshore leads to deliver against sprint commitments

Required Qualifications

• 5-8 years of professional software engineering experience with strong Python skills
• Demonstrated ability to build full-stack features, including React + Tailwind CSS front ends
• Experience designing and building Python APIs (FastAPI, Flask, or similar)
• Strong proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) used daily for production work
• Solid QA habits: writes tests, validates data, and thinks carefully about edge cases before shipping
• Familiarity with cloud platforms (Azure preferred) and modern deployment workflows
• Clear written and verbal communication for working in a distributed team

Preferred Qualifications

• Exposure to LLM application development: prompt engineering, RAG, function calling, or agent frameworks
• Background in media, advertising, or marketing technology data
• Experience with Unity Catalog or other lakehouse governance tooling
• Open-source contributions or portfolio projects that demonstrate full-stack or data work

Location:

DGS India - Pune - Indiqube Orchid

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent