Job Description
1-2 years of experience in Python development. Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering. Experience with frameworks such as LangChain, LlamaIndex, or similar. Understanding of Machine Learning and NLP concepts. Familiarity with OpenAI, Azure OpenAI, Gemini, or other AI platforms. Experience with REST APIs and application integration. Knowledge of vector databases such as Pinecone, ChromaDB, or FAISS. Strong analytical and problem-solving skills.
Develop and deploy Generative AI solutions using LLMs and AI frameworks. Build AI-powered applications, chatbots, and automation solutions. Design and implement prompts, RAG pipelines, and AI workflows. Integrate AI models with enterprise applications and APIs. Fine-tune, evaluate, and optimize model performance. Collaborate with cross-functional teams to understand business requirements. Perform testing, debugging, and monitoring of AI applications. Stay updated with emerging trends in Generative AI and Machine Learning.
Exposure to RAG (Retrieval-Augmented Generation) architectures. Knowledge of cloud platforms such as Azure, AWS, or GCP. Basic understanding of MLOps and model deployment. Experience with Git and Agile methodologies.
