What You'll Do:

- Design, train, fine-tune, and deploy ML models for entity recognition, text classification, entity masking, and data anonymization.

- Build NLP pipelines for identifying sensitive information across structured and unstructured data.

- Develop Agentic AI workflows capable of autonomous reasoning, planning, and tool orchestration.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for secure enterprise search.

- Integrate and optimize Large Language Models using prompt engineering, guardrails, output validation, and hallucination mitigation techniques.

- Implement privacy-preserving AI techniques including differential privacy, anonymization, and secure data handling.

- Build high-performance AI inference services using Python and FastAPI.

- Optimize model latency, throughput, and scalability for production deployments.

- Collaborate with backend engineers to integrate AI services into Go-based APIs and Kafka event-driven systems.

- Develop evaluation frameworks for model quality, bias detection, privacy leakage, and model drift.

- Stay updated with the latest advancements in Generative AI, LLMs, and NLP technologies.