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Tier-1 brand, mid-level ML role in a metro with broadly in-demand GenAI skills increases competition.
GenAI and scalable systems skills are transferable, but retail-specific platform knowledge moderately limits fit.
Explicit 5+ years and mandatory GenAI, software, and cloud tech stack create strict shortlisting filters.
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Develop and productionize Generative AI capabilities using modern LLM ecosystems such as OpenAI, Anthropic, Llama, Gemini.
Design, develop, and approve scalable, reliable systems with operational health, cost, and performance awareness for Target’s technology products and platforms.
Lead cross-team collaboration and influence stakeholders to deliver AI-driven technology solutions impacting Target’s team members, guests, and suppliers.
Bachelor’s degree or equivalent experience (4-year degree).
5+ years of software development experience including at least one full-cycle implementation.
Proficiency in Java and Python; experience with PostgreSQL, OpenSearch/Elasticsearch, and object storage (e.g., S3).
Hands-on experience with modern LLM platforms and frameworks (OpenAI, Anthropic, Llama, Gemini, LangChain, LangGraph) and productionizing Generative AI solutions.
Deep domain knowledge of Target’s technology capabilities and competitive landscape, able to design end-to-end functionality for product lines or platforms.
Experienced in building highly scalable, distributed systems with attention to operational health, cost, and performance.
Skilled in emerging Generative AI patterns like context engineering, RAG, and Agentic AI, and familiar with open-source technologies and frameworks relevant to AI.