Software Engg

We are seeking a **Generative AI Developer*with hands-on experience in **Generative AI**, **Prompt Engineering**, **LlamaIndex**, **Langchain**, **Vector Databases**, **Graph Database*and **FastAPI**, **Agentic AI**. The ideal candidate will possess strong skills in designing and implementing generative AI models, along with a solid understanding of backend development and database management.

**API Development**: Build robust APIs and microservices using FastAPI to integrate AI models into various applications.
- **Data Management**: Work with vector databases & graph databases to handle structured and unstructured data efficiently.- **Prompt Engineering**: Optimize GenAI performance through prompt engineering experimentation such as COT, and other advanced prompting techniques.- **Agent Development**: Hands on experience on building agents with function calling and good to have experience in Agentic AI.- **Collaboration**: Collaborate with cross-functional teams to define project goals and develop innovative solutions.- **Documentation**: Maintain clear documentation of agents, prompts, processes, and results for both technical and non-technical stakeholders.

- **Agility**: should have work experience in Agile methodology, be flexible, quickly adapt and support to dynamically changing project requirements.

**Programming Languages**: Python, PySpark
- **Frameworks**: FastAPI, Apache Airflow- **Generative AI Techniques**: Agents & Prompt Engineering (must), Agentic AI (good to have)- **Database Management**: Vector databases, SQL/NoSQL, Graph Databases- **Cloud Platforms**: AWS, preferably Google Cloud Platform

- **Code Deployment**: Proficiency in version control using Git and GitHub, containerization with Docker, and CI/CD pipelines.

### Desired Attributes