Job Details

● Rapidly develop and deploy AI-powered applications utilizing LLMs for real-world use cases. 
● Work with diverse data sources, integrating structured and unstructured data across public and proprietary data sets to enhance AI insights. 
● Engineer prompts, implement retrieval-augmented generation (RAG), and enable AI-driven recommendations for domain-specific applications 
● Build scalable APIs that work with and extend our existing architecture 
● Stay updated on the latest advancements in LLMs, AI, and machine learning

● 3+ years of experience in AI/ML development, with a focus on NLP or deep learning, including transformers.
● Hands-on experience with LLM APIs (OpenAI, Anthropic, Meta, Google), as well as LangChain, Hugging Face, or similar frameworks (even if in the last 1-2
years).
● Proficiency in Python, with experience in PyTorch, TensorFlow, or JAX and Flax.
● Strong understanding of vector databases, embeddings, and efficient knowledge retrieval techniques.
● Experience in cloud-based deployment (AWS, GCP, or Azure).
● Ability to work independently and drive AI solutions from concept to execution.
● Based in India, with strong analytical and problem-solving skills.

● Experience working with LLM-powered applications in production environments. 
● Knowledge of data pipelines, AI search, and recommendation systems. 
● Strong understanding of LLM security, bias mitigation, and ethical AI.