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Target's strong brand and Bangalore location increase competition despite niche LLM and AdTech specialization.
Specialized AdTech and production LLM engineering requirements limit cross-industry transferability.
Multiple mandatory technical skills, 8+ years experience, and production LLM expertise enforce strict shortlisting.
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Lead technical strategy and architecture for Ad Tech backend platforms, including DSP, SSP, and Ad Servers, supporting self-service advertising.
Design, build, and operate production-grade AI-powered applications using Large Language Models and agentic systems, ensuring scalability and reliability.
Provide engineering leadership through mentoring, technical guidance, and collaboration with cross-functional teams to solve complex business challenges.
8+ years of software development experience with end-to-end design and implementation of complex distributed systems.
Strong backend engineering skills including Java/Spring, microservices architecture, scalable APIs, and asynchronous systems.
Experience with databases (RDBMS and NoSQL e.g., Cassandra, MongoDB) and event-driven architectures (e.g., Kafka).
Work Experience Required: 8+ years of software development; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and operating production LLM-powered systems beyond prototypes, including Retrieval-Augmented Generation (RAG) and agentic architectures.
Deep understanding of Ad Tech business and technology integration, especially in DSP, SSP, or Ad Server platforms supporting advertising workflows.
Strong leadership style focused on measurable architectural trade-offs, delivering scalable AI systems, and raising overall technical capability of engineering teams.