Full Stack Engineer

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