Job Summary

This role focuses on building and maintaining AI-driven solutions using large language models and prompt engineering techniques. The individual will contribute to the development of code modules, support existing applications, and ensure deliverables meet defined quality standards. They will apply foundational knowledge of Python, RESTful APIs, and databases to support the implementation of generative AI features within assigned projects.

Key Responsibilities

1. Develop code modules using Python and GenAI frameworks to implement prompt engineering and large language model functionalities as per project requirements.
2. Integrate RESTful APIs to enable communication between GenAI components and external systems, ensuring smooth data exchange.
3. Utilize PostgreSQL and VectorDB to store, retrieve, and manage embeddings and AI-generated data for application features.
4. Apply basic troubleshooting and debugging techniques to resolve issues in GenAI-powered applications using Python and related libraries.
5. Document implemented features, code changes, and prompt engineering logic to maintain clear project records.
6. Participate in team code reviews to gain familiarity with best practices in GenAI and Python development.

Skill Requirements

1. Basic Understanding Of Genai Concepts, Prompt Engineering, And Large Language Models.
2. Fundamental Knowledge Of Python Programming For Ai Solution Development.
3. Familiarity With Restful Api Integration For Data Exchange.
4. Basic Experience With Postgresql And Vectordb For Managing Airelated Data.
5. Foundational Skills In Using Frameworks Such As Flask, Django, Or Fastapi For Backend Development.
6. Exposure To Embedding Techniques And Tools Like Pinecone Or Azure Ai Search.

Other Requirements

1.Optional but valuable: Microsoft Certified: Azure AI Fundamentals
2. OpenAI API Certification