Sr Python Developer

Overview:

Job Description:

We are seeking a highly skilled Senior Python Developer with proven expertise in Generative AI frameworks to design, develop, and deploy advanced AI-driven solutions. The ideal candidate will have deep experience in Python , hands-on expertise with LangChain, Langraph, and OpenAI , and a strong understanding of large language model (LLM) integration. This role requires working closely with cross-functional teams to build scalable, production-grade applications leveraging the latest AI technologies.

Key Responsibilities:

• Design and implement AI-driven applications using Python, LangChain, Langraph, and OpenAI APIs .
• Develop scalable architectures for LLM-powered applications such as chatbots, retrieval-augmented generation (RAG) pipelines, and workflow automation tools.
• Build, test, and optimize prompt engineering strategies for LLM use cases.
• Integrate with external data sources (databases, APIs, vector databases like Pinecone, Weaviate, or FAISS) for context-rich AI solutions.
• Collaborate with data scientists, ML engineers, and product teams to understand business requirements and deliver AI solutions.
• Develop end-to-end pipelines for training, fine-tuning, deployment, and monitoring of LLM-based applications.
• Implement best practices for security, scalability, and performance optimization in AI systems.
• Create documentation, technical guides, and reusable components for internal teams.
• Stay updated with the latest advancements in Generative AI, LLMOps, and orchestration frameworks to continuously improve solution capabilities.

Required Skills & Experience:

• Strong hands-on development experience in Python (5+ years).
• Proven expertise with LangChain and Langraph for building AI applications.
• Solid understanding of OpenAI APIs (ChatGPT, GPT-4, embeddings, fine-tuning, etc.).
• Experience with vector databases (Pinecone, FAISS, Weaviate, ChromaDB).
• Familiarity with RAG pipelines, conversational AI, and workflow orchestration .
• Strong understanding of software engineering best practices (OOP, design patterns, CI/CD).
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying AI applications.
• Knowledge of containerization and orchestration ( Docker, Kubernetes ).
• Excellent problem-solving, analytical, and communication skills.

Nice-to-Have Skills:

• Experience with other LLM frameworks (e.g., LlamaIndex, Hugging Face Transformers ).
• Exposure to MLOps/LLMOps practices for model deployment and monitoring.
• Familiarity with front-end integration for AI applications (React, Streamlit, or Flask).
• Experience in data pipelines, ETL, or big data frameworks .

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.