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Tier-1 brand, mid-level fullstack role, Bangalore location, and generalist title increase applicant competition.
Fullstack and GenAI skills are transferable across industries but require AI domain knowledge.
Explicit 5+ years, mandatory Java/Python and production GenAI experience increase filtering strictness.
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Own end-to-end design, development, and approval of software functionality for product lines, platforms, or infrastructure.
Build scalable, reliable distributed systems focusing on performance, cost-efficiency, and operational health.
Implement and productionize Generative AI capabilities using modern LLM ecosystems and frameworks.
5+ years of software development experience with at least one full-cycle implementation.
Proficiency in Java and Python programming languages.
Experience with PostgreSQL, OpenSearch/Elasticsearch, and object storage platforms like S3.
Hands-on experience with Generative AI ecosystems (OpenAI, Anthropic, Llama, Gemini) and frameworks such as LangChain, LangGraph, or Google GenAI.
Strong domain knowledge of Target’s technology capabilities and competitive landscape.
Experienced in designing highly scalable distributed systems with operational focus.
Capable of leading cross-team collaborations and influencing stakeholders effectively.