Java + AI Engineer

We 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.