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Multinational employer and Bangalore location increase applicant pool, but niche PIM+AI specialization moderates competition.
Strong PIM/Inriver and enterprise AI experience demands domain-specific background, reducing cross-industry transferability.
Explicit 6–8 years plus mandatory C#/.NET, MS SQL, PIM and AI tooling requirements enforce strict filtering.
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Lead design and implementation of AI-driven Product Information Management (PIM) workflows, including content generation, validation, enrichment, and automation across large-scale product data platforms.
Integrate and optimize AI agents, LLM workflows, and automation frameworks to improve product content quality, speed-to-market, and operational efficiency.
Drive technical solutions involving data modeling, bulk data onboarding, REST API and event-driven integration, and AI productivity tools within an enterprise environment.
Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience.
6–8 years engineering experience with C#/.NET, REST APIs, and MS SQL Server.
2+ years hands-on experience building AI-driven applications involving LLM workflows, RAG, prompt orchestration, or automated content-generation systems.
Practical experience integrating AI agents using frameworks like Azure AI Orchestration, Semantic Kernel, or Lang Chain; familiarity with Azure OpenAI or similar LLM platforms.
Strong expertise in PIM systems, especially advanced configuration and operation of Inriver Inspire AI features.
Experienced in architecting enterprise-grade AI/ML solutions, including multi-agent coordination, RAG pipeline optimizations, and AI workflow orchestration.
Comfortable driving cross-team collaboration across engineering, Product Marketing, and data governance functions in agile settings.