Job Description

Job Title: Python Developer with GenAI Experience
Location: Remote
Duration: 6+ Months
Implementation Partner: Infosys
End Client: To be disclosed

Job Description :

We are seeking a talented and motivated Python Developer with hands-on experience in Generative Artificial Intelligence (GenAI) to join our dynamic team. The ideal candidate will have a strong proficiency in Python programming and a solid understanding of GenAI fundamentals. Experience with .Net is a plus but not mandatory.

Key Responsibilities:

• Develop, test, and maintain high-quality Python applications.
• Leverage Generative AI techniques to create innovative solutions and enhance existing products.
• Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business needs.
• Continuously improve and optimize code for efficiency and performance.
• Document software processes and contribute to knowledge-sharing within the team.

Required Skills:

• Proven experience as a Python Developer.
• Strong understanding of Python programming language, libraries, and frameworks.
• Proven experience in developing and deploying web applications using FastAPI, including the ability to design efficient and scalable RESTful APIs. Understanding of asynchronous programming in Python is a plus.
• Strong proficiency in writing unit tests to ensure high code coverage and reliability of software. Familiarity with testing frameworks such as pytest, unittest, or similar tools.
• Hands-on experience working with Langchain for building and deploying conversational AI models.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong communication skills and attention to detail.

GenAI Specific Skills:

• Practical experience with GenAI agent frameworks such as langgraph, langflow, AutoGen, and others. Capability to implement, customize, and optimize these frameworks to develop innovative AI-driven applications and solutions.
• Experience with agent development, including memory management and the deployment of autonomous AI agents on MCP servers.
• Familiarity with tools and methodologies associated with ReAct agent framework and LLM patterns.
• Experience with Retrieval-Augmented Generation (RAG) techniques to enhance AI models with external data sources.
• Proficiency in integrating and calling GenAI tools from within agent frameworks to provide enhanced AI capabilities and user interactions.

Preferred Skills:

• Experience with Azure platform and services.

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