Lead AI solution design & development, integrate LLMs into Java/Spring apps for NLP & predictive analytics. Collaborate cross-functionally on AI strategy & mentor junior developers.
Responsibilities
Lead the design and development of AI-powered solutions, including AI agents, chatbots, and intelligent automation workflows. Integrate LLMs (e.g., GPT, Cohere, or open-source models) into existing Java/Spring-based applications to enable advanced NLP, decision-making, and predictive analytics. Collaborate with cross-functional teams (developers, data scientists, product managers) to define AI strategy, roadmap, and technical requirements. Optimize AI workflows for scalability, performance, and cost-efficiency, leveraging Oracle databases for data management and retrieval. Mentor junior developers and foster a culture of innovation in AI/ML practices. Stay updated on emerging AI technologies and evaluate their applicability to business challenges. Ensure compliance with data privacy, security, and ethical AI standards.
Requirements
Experience with MLOps, CI/CD pipelines, and model deployment in production. Knowledge of microservices architecture and event-driven systems. Contributions to open-source AI projects or publications in AI research.
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