Python+ GEN AI (LLM)

6+ years of professional experience in Python development. · Strong understanding of LLMs, transformer architectures, and NLP techniques. · Hands-on experience with Hugging Face Transformers, LangChain, OpenAI, Anthropic, or similar platforms. · Experience with prompt engineering, RAG, vector databases (e.g., FAISS, Pinecone, Weaviate). · Proficiency in building RESTful APIs and microservices. · Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). · Solid understanding of software engineering principles. Design and develop robust Python applications and APIs for AI/LLM-based services. · Fine-tune, evaluate, and deploy LLMs using frameworks like Hugging Face Transformers, LangChain, or OpenAI APIs. · Build and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and model inference. · Collaborate with cross-functional teams to integrate LLMs into real-world applications (e.g., chatbots, summarization tools, code generation). · Implement scalable backend systems using FastAPI, Flask, or Django. · Ensure high performance, reliability, and security of AI services in production. · Stay updated with the latest research and advancements in GenAI and NLP. · Mentor junior developers and contribute to code reviews and best practices