Tech Lead-GenAI - VectorDBand PostgreSQL

Job Summary

This role is accountable for delivering robust AI-driven solutions by leveraging large language models and prompt engineering techniques. The individual applies in-depth expertise in Python, RESTful APIs, and database technologies to design, implement, and optimize generative AI applications, ensuring alignment with organizational standards and project objectives.

Key Responsibilities

1. Apply solid knowledge of GenAI and prompt engineering to design, implement, and optimize LLM-based solutions for assigned modules, ensuring technical feasibility and adherence to best practices.

2. Develop and integrate RESTful APIs using Python frameworks such as Flask, Django, or FastAPI to enable seamless interaction between AI models and application components.

3. Implement and manage data storage solutions using PostgreSQL, MySQL, and VectorDB technologies, optimizing data retrieval and supporting efficient embedding workflows.

4. Utilize Pinecone and Azure AI Search to build and maintain scalable vector databases for semantic search and retrieval tasks within GenAI applications.

5. Participate in technical reviews and discussions, providing guidance on architecture, technical alternatives, and risk assessment for GenAI projects.

6. Ensure process compliance and prepare status reports to monitor project progress, minimize risks, and support timely escalation closure.

Skill Requirements

1. Solid Proficiency In Genai, Prompt Engineering, And Working With Large Language Models (Llms).

2. Solid Understanding Of Python Programming And Restful Api Development Using Flask, Django, Or Fastapi.

3. Solid Experience With Relational And Vector Databases, Including Postgresql, Mysql, And Pinecone.

4. Solid Ability To Implement And Optimize Embedding Techniques For Aidriven Applications.

5. Solid Familiarity With Azure Ai Search And Semantic Retrieval Solutions.

6. Solid Skills In Technical Documentation And Process Compliance Within Development Projects.

Other Requirements

1. Optional but valuable certifications:

2. - Microsoft Certified: Azure AI Engineer Associate

3. - Google Professional Machine Learning Engineer

4. - OpenAI Developer Certificatio