Java + AI Engineer

Java + AI EngineerWe are seeking a Java + AI Engineer to design, develop, and deploy AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, predictive models, and AI agents. The ideal candidate will translate business requirements into production-ready AI solutions while ensuring scalability, security, and compliance.Key Responsibilities:Design, develop, and deploy Generative AI/ML solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, embeddings, and AI agents.Translate business use cases into production-ready AI solutions with measurable outcomes.Implement LLM orchestration, prompt engineering, vector search, and model fine-tuning.Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications.Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore/offshore models.Implement MLOps / LLMOps practices, including CI/CD, monitoring, versioning, model governance, and observability.Ensure Responsible AI, security, compliance, and data privacy by design.Support production deployments, performance tuning, and continuous improvement of AI systems.Required Skills:Experience in software engineering, ML engineering, or AI solution development.Strong proficiency in Java, including Java Streams.Hands-on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents.Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines.Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/Azure acceptable).Familiarity with Docker, Kubernetes, and CI/CD pipelines.Strong problem-solving, communication, and stakeholder collaboration skills.Preferred Skills:Experience with MLOps/LLMOps frameworks.Knowledge of enterprise AI governance and compliance standards.Exposure to cross-functional agile teams and production AI deployment environments.