| Mandatory Skills | PYTHON DEVELOPMENT CO-PILOT IMPLEMENTATION EXPERIENCE |
| JD | Technical Lead-GenAI (VectorDB & MySQL)
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.
Certification
1. Optional but valuable:
2. Certifications such as Microsoft Certified: Azure AI Engineer Associate
3. - Google Professional Machine Learning Engineer |
Mandatory Skills PYTHON DEVELOPMENT CO-PILOT IMPLEMENTATION EXPERIENCE JD Technical Lead-GenAI (VectorDB & MySQL) Job Summary This role is responsible for developing integrating and optimizing Generative AI solutions using advanced prompt engineering and large language models. The ...
| Mandatory Skills | PYTHON DEVELOPMENT CO-PILOT IMPLEMENTATION EXPERIENCE |
| JD | Technical Lead-GenAI (VectorDB & MySQL)
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.
Certification
1. Optional but valuable:
2. Certifications such as Microsoft Certified: Azure AI Engineer Associate
3. - Google Professional Machine Learning Engineer |
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
