Python LLM + Gen Ai Developer

We are seeking a skilled Python LLM / Generative AI Developer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern GenAI frameworks. You will contribute to feature development, optimize model performance, integrate AI capabilities into enterprise applications, and collaborate with cross-functional teams to deliver innovative AI solutions.

• Design and develop production-grade Generative AI applications using Python and Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Develop intelligent AI solutions leveraging frameworks such as LangChain, LlamaIndex, Semantic Kernel, and Azure OpenAI.
• Integrate external APIs, enterprise systems, and data sources to enhance AI-driven workflows.
• Implement prompt engineering, model evaluation, and response optimization techniques to improve accuracy and relevance.
• Develop scalable backend services and APIs to support GenAI applications in production environments.
• Collaborate with product, engineering, and business teams to embed AI capabilities into enterprise workflows.
• Contribute to code reviews, technical documentation, and engineering best practices.
• Strong Python programming with hands-on experience in AI/ML and Generative AI frameworks.
• Working knowledge of Large Language Models (LLMs), prompt engineering, and model fine-tuning techniques.
• Practical experience with LangChain, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI, or similar GenAI frameworks.
• Experience with vector databases, embeddings, retrieval systems, and RAG architectures.
• Understanding of responsible AI practices, model evaluation, guardrails, and AI governance.

Good to Have

• Exposure to MLOps/LLMOps practices including model versioning, experiment tracking, and deployment automation.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and cloud-native application development.
• Experience with cloud AI services on Azure, AWS, or GCP.
• Familiarity with monitoring, observability, and performance optimization of AI applications in production.