Description

You will develop and deploy scalable, production-grade Generative AI applications using Python, modern GenAI frameworks, vector databases, Azure Cloud, and Databricks.

Responsibilities

• Design, develop, and deploy advanced LLM-powered and agentic AI solutions using Python and modern GenAI frameworks like LangChain and LangGraph.
• Build and optimize RAG pipelines, covering data ingestion, embeddings, retrieval, and vector database integration.
• Develop and manage AI agents capable of tool usage, multistep reasoning, and workflow orchestration.
• Integrate AI services into applications using Python frameworks such as FastAPI, Django, or Flask, building secure REST endpoints.
• Monitor and evaluate AI system performance using structured evaluation frameworks and telemetry analysis.

Required Skills

• 7+ years of professional experience in software development.
• Strong proficiency in Python for building scalable backend systems and APIs.
• Proven experience with GenAI application development using LangChain and LangGraph.
• Hands-on experience implementing RAG architectures and integrating vector databases.
• Experience designing and implementing Agentic AI patterns and tool integrations.
• Solid understanding of LLMs, NLP techniques, prompting, and grounding strategies.
• Practical experience building applications with FastAPI, Django, or Flask.
• Familiarity with Databricks for data workflows and GenAI model development.
• Knowledge of software engineering best practices, including testing, security, and scalability.

Key Skills

Education

Any Graduate