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Tier-1 brand, generic SDE title, and Bangalore metro increase applicant density despite specialized AI requirements.
Role requires specialized AI, RAG, and data platform skills, making cross-industry fit moderately constrained.
Mandatory 8+ years plus specific fullstack, AI, and data platform requirements enforce stringent shortlisting.
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Design and develop full stack applications using React.js and Python focusing on marketing automation and AI integration.
Build and maintain APIs and services for marketing automation workflows, including integration with data platforms like Snowflake and Databricks.
Implement agentic AI/LLM capabilities including RAG, MCP, and agentic workflow orchestration to enhance data-driven marketing operations.
8+ years of experience in full stack development with strong proficiency in Python, React.js, JavaScript, HTML, and CSS.
Experience designing asynchronous, distributed systems and building/consuming REST APIs including integration with LLM APIs (e.g., OpenAI, Azure AI Foundry, Claude).
Hands-on experience with RAG architectures, AI Agents/multi-step workflow orchestration, MCPs, and vector databases (e.g., PG Vector) and frameworks such as LangChain, LlamaIndex.
Work Experience Required: 8+ years in relevant full stack development and AI integration roles. No explicit mention of degree or location restrictions beyond Bangalore, India.
Experienced in integrating AI/ML capabilities with marketing automation workflows and data platforms operating at scale.
Comfortable working in agile environments delivering iterative, maintainable solutions with continuous integration and containerized deployments.
Familiarity or exposure to Paid Media Ad Tech stacks and event-driven architectures (Kafka, AWS EventBridge, Pub/Sub) is advantageous but not mandatory.