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Technical Lead-GenAI - VectorDBand MySQL

HCLTech -
Bengaluru, Karnataka

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Job details

3 days ago

Qualifications

Azure
Law
Relational databases
Master's degree
Application development
Databases
Machine learning
PostgreSQL
Azure Certification
REST
Django
APIs
Flask
AI
Python
MySQL

Full job description

Bangalore, Karnataka
Job Summary
This role is responsible for developing, integrating, and optimizing Generative AI solutions using advanced prompt engineering and large language models. The individual applies solid technical expertise in Python, RESTful APIs, and database technologies to deliver scalable AI-driven applications, ensuring best practices and technical standards are upheld throughout the development lifecycle.
Key Responsibilities
1. Implement and optimize GenAI solutions by designing, testing, and refining prompts for large language models using Python and prompt engineering techniques.
2. Develop RESTful APIs with Flask, Django, or FastAPI to enable seamless integration of LLM-based features into web and enterprise applications.
3. Integrate and manage data storage using MySQL, PostgreSQL, and VectorDB technologies such as Pinecone, ensuring efficient handling of embeddings and AI-generated content.
4. Apply solid understanding of Azure AI Search and vector databases to enhance retrieval-augmented generation and semantic search capabilities within GenAI applications.
5. Participate in technical discussions and feasibility studies by evaluating GenAI architectures, technical alternatives, and risk factors to support project delivery.
6. Ensure process compliance and contribute to technical documentation, status reporting, and risk mitigation for assigned modules.
Skill Requirements
1. Solid Proficiency In Genai, Prompt Engineering, And Large Language Models (Llms).
2. Solid Experience With Python Programming For Ai Application Development.
3. Solid Knowledge Of Restful Api Design And Implementation Using Flask, Django, Or Fastapi.
4. Solid Skills In Relational Databases (Mysql, Postgresql) And Vector Databases (Pinecone, Vectordb).
5. Solid Understanding Of Embedding Techniques And Semantic Search Using Azure Ai Search.
6. Solid Ability To Analyze Technical Feasibility And Recommend Best Practices In Genai Solution Development.

Other Requirements

1. Optional but valuable:
2. Certifications such as Microsoft Certified: Azure AI Engineer Associate
3. - Google Professional Machine Learning Enginee
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