Job Description:
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.
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Develop features across the full stack: data transformations, Python APIs, and React/Tailwind front ends
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Write Python APIs (FastAPI or similar) that connect data foundations and AI models to client-facing applications
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Use Claude Code and Cursor as primary development tools to ship features efficiently while keeping code quality high
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Contribute to agentic AI features when applicable: tool integrations, prompt patterns, and wrappers around data and models
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Write unit, integration, and data validation tests, and help maintain observability on the pipelines and apps you ship
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Participate in code reviews and design discussions, learning from senior engineers and contributing your own ideas
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Document your work clearly so other engineers and stakeholders can pick up and extend it
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Partner with the Senior Full Stack Engineer and onshore leads to deliver against sprint commitments
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5-8 years of professional software engineering experience with strong Python skills
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Demonstrated ability to build full-stack features, including React + Tailwind CSS front ends
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Experience designing and building Python APIs (FastAPI, Flask, or similar)
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Strong proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) used daily for production work
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Solid QA habits: writes tests, validates data, and thinks carefully about edge cases before shipping
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Familiarity with cloud platforms (Azure preferred) and modern deployment workflows
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Clear written and verbal communication for working in a distributed team
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Exposure to LLM application development: prompt engineering, RAG, function calling, or agent frameworks
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Background in media, advertising, or marketing technology data
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Experience with Unity Catalog or other lakehouse governance tooling
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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
