Description

You will design, build, and deploy Generative AI and ML solutions integrated with enterprise Java systems.

Responsibilities

• Design and deploy LLM applications, RAG pipelines, agents, and predictive models.
• Develop high-performance Java components, including APIs, microservices, and Java streams.
• Implement LLM orchestration techniques such as prompt engineering, vector search, embeddings, and model fine-tuning.
• Apply MLOps and LLMOps practices including CI/CD, monitoring, versioning, and governance.
• Collaborate with Data Engineering, Data Science, and Cloud teams to deliver end-to-end solutions.

Required Skills

• 6+ years of experience in software engineering, ML engineering, or AI solution development.
• Proficiency in Java, specifically with Java streams and building scalable microservices.
• Hands-on experience with Generative AI and LLMs, including RAG, embeddings, and prompt engineering.
• Experience with LLM orchestration and vector search.
• Knowledge of CI/CD pipelines and MLOps/LLMOps best practices.
• Degree in Computer Science, Engineering, or a related technical field.

Key Skills

Education

Any Graduate