Sr Engineer - Ad Tech

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About the role

About Us As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy, and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of our core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. About Team Target Tech is on a mission to build the systems, tools, and platforms that enable our teams, guests, and partners to operate effectively and deliver meaningful experiences at scale. Our AI Platform team is focused on building production-grade AI capabilities that can be adopted across engineering and business use cases. The team works at the intersection of modern AI, software engineering, and distributed systems to build reliable platforms that make AI useful beyond experimentation and into real production environments. We are building capabilities around LLM applications, retrieval-augmented generation, AI agents, and tool-enabled workflows, with a strong focus on reliability, observability, scalability, and responsible engineering. Role Overview As a Senior Engineer - AI Platform , you will be a senior individual contributor responsible for designing and building production-grade AI capabilities and helping shape the technical direction of the platform. You will work hands-on across LLM applications, RAG, AI agents, MCP, Java/Kotlin and distributed systems , translating emerging AI capabilities into reliable software that can operate at scale. The role is a combination of strong software engineering and practical AI engineering. You will be expected to make sound architectural decisions, solve complex technical problems, contribute to engineering standards, and mentor other engineers. The key to success in this role is having real production experience building and shipping AI applications , not just experimenting with LLMs or proof-of-concepts. Use your skills, experience, and talents to be a part of groundbreaking thinking and visionary goals. AI Engineering & Agentic Systems • LLM Applications: Build and integrate production-grade applications using large language models, including prompt engineering, model integration, structured outputs, and inference workflows. • RAG: Design and implement Retrieval-Augmented Generation solutions covering retrieval, embeddings, metadata filtering, reranking, grounding, citations, and evaluation. • AI Agents: Build agentic workflows using agent frameworks and tool-enabled architectures, including Model Context Protocol (MCP) and multi-step agent interactions. • Agent Architecture: Design reliable patterns for agent, tool, and service interactions with clear separation of responsibilities and measurable execution behavior. • Evaluation & Quality: Build approaches to evaluate AI systems for correctness, reliability, grounding, tool usage, and regression acro

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