Data Scientist

We are seeking a AI ML Developer with a strong foundation in Generative AI (GenAI) to develop, and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications. ### Key Responsibilities Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django. Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows. Optimize performance, concurrency, and error handling for GenAI-powered applications. Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots. Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack. Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction. Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations. Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval. Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access. Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring. ### Requirements Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 2+ years of hands-on Python development experience, with emphasis on backend/API design. Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc. Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.