AI Developer

- Design, build, and deploy LLM-based applications for real-world use cases

- Implement and optimize RAG pipelines using vector databases and document stores

- Fine-tune, evaluate, and prompt-engineer LLMs for accuracy and performance

- Build NLP pipelines for text classification, summarization, extraction, and search

- Integrate AI models with backend systems and APIs

- Work with unstructured data (PDFs, docs, emails, chat logs, etc.)

- Monitor model performance, hallucination risks, and response quality

- Collaborate closely with product, engineering, and data teams

- Stay updated with the latest AI/LLM research and tooling