Generative AI Developer - LLM/NLP Techniques

Key Responsibilities :

- Develop and maintain scalable AI/ML solutions using Python Work on Generative AI applications using LLMs and NLP techniques

- Design and implement prompt engineering strategies for optimal model performance

- Build and manage vector databases and Retrieval-Augmented Generation (RAG) pipelines Develop and deploy REST APIs for AI/ML applications

- Collaborate with DevOps teams for cloud deployment and CI/CD automation Perform model testing, evaluation, and performance tuning

- Ensure scalability, reliability, and efficiency of AI systems in production

Required Skills :

- Strong proficiency in Python development Hands-on experience with LLMs, AI/ML, NLP, and GenAI tools

- Experience in prompt engineering and RAG-based systems Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate, etc.)

- Experience in cloud deployment (AWS / Azure / GCP)

- Understanding of APIs, testing frameworks, and CI/CD pipelines

- Strong problem-solving and communication skills

Preferred Qualifications :

- Bachelors degree in Computer Science, Statistics, Mathematics, or related field

- Experience deploying production-grade AI/ML APIs

- Exposure to deep learning and model evaluation techniques

- Experience in scalable system design for AI applications