Job Title : Python GenAI Developer

Experience : 4-6 Years

Job Summary :

We are seeking a skilled Python Developer with 46 years of experience and a strong background in Generative AI application development. The ideal candidate should have expertise in Python programming, modern web frameworks, and hands-on experience with Large Language Model (LLM) frameworks and APIs. The role involves building, integrating, and optimizing AI-powered applications using the latest GenAI technologies.

Required Skills :

- Strong proficiency in Python, including object-oriented programming (OOP) principles.

- Hands-on experience with Python libraries such as NumPy, Pandas, FastAPI, and Streamlit.

- Practical experience working with LLM APIs and orchestration frameworks including :

1. Google ADK

2. LangChain

3. LangGraph

4. Phoenix

5. Guardrails

6. Mem0

- Ability to design, develop, and deploy AI-driven applications using modern Python frameworks.

- Good understanding of software development best practices, debugging, and performance optimization.

Preferred Skills :

- Experience with AI/ML tools and vector databases such as :

1. Hugging Face

2. FAISS

3. Milvus

- Exposure to emerging GenAI technologies, including :

1. A2A (Agent-to-Agent)

2. MCP (Model Context Protocol)

3. Other advanced GenAI frameworks and protocols.

- Background in traditional Artificial Intelligence or Machine Learning concepts and model development is an added advantage.

Key Responsibilities :

- Develop and maintain Python-based applications for Generative AI solutions.

- Integrate and work with Large Language Models (LLMs) using industry-standard APIs and frameworks.

- Build scalable APIs and interactive AI applications using FastAPI and Streamlit.

- Design workflows and orchestration pipelines using LangChain, LangGraph, and related frameworks.

- Implement memory management, guardrails, and monitoring mechanisms for AI applications.

- Utilize vector databases and embedding technologies for Retrieval-Augmented Generation (RAG) solutions.

- Collaborate with cross-functional teams to deliver robust, scalable, and production-ready AI applications.

- Stay current with emerging GenAI technologies and contribute to continuous innovation and best practices.