GenAI Developer

Role Overview: As a GenAI Developer specializing in Python and Agentic AI, you will be responsible for developing and deploying GenAI applications using Python and modern AI frameworks. Your role will involve building and optimizing RAG pipelines, integrating LLMs, and managing vector databases. Collaboration with cross-functional teams, including data scientists, DevOps, and product managers, will be essential. Additionally, you will implement and maintain agentic AI workflows using orchestration tools while ensuring code quality, scalability, and performance of AI-driven applications. Staying updated with the latest advancements in GenAI and agentic systems will be crucial to your success. Key Responsibilities: - Develop and deploy GenAI applications using Python and modern AI frameworks. - Build and optimize RAG pipelines, integrate LLMs, and manage vector databases. - Collaborate with cross-functional teams including data scientists, DevOps, and product managers. - Implement and maintain agentic AI workflows using orchestration tools. - Ensure code quality, scalability, and performance of AI-driven applications. - Stay updated with the latest advancements in GenAI and agentic systems. Qualifications Required: - Strong programming skills in Python. - Experience with LLM frameworks (e.g., LangChain, Hugging Face, OpenAI SDK). - Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). - Understanding of RAG architecture, prompt engineering, and token optimization. - Exposure to agentic AI frameworks and multi-agent orchestration. - Experience with AWS, Databricks, PySpark, and SQL. - Knowledge of Git, CI/CD pipelines, and Agile development practices.,