

AppLab Systems, Inc
Technical Lead-GenAI (VectorDB & MySQL)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Technical Lead-GenAI (VectorDB & MySQL) for a contract of unspecified length, offering a competitive pay rate. Key skills include Python development, prompt engineering, RESTful API design, and experience with MySQL and VectorDB technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #Programming #FastAPI #API (Application Programming Interface) #Python #Storage #Compliance #AI (Artificial Intelligence) #Azure #Django #Documentation #Flask #PostgreSQL #MySQL #Databases #Data Storage #ML (Machine Learning)
Role description
Job Title/Role
Prompt engineering
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.
1. Develop RESTful APIs with Flask, Django, or FastAPI to enable seamless integration of LLM-based features into web and enterprise applications.
1. Integrate and manage data storage using MySQL, PostgreSQL, and VectorDB technologies such as Pinecone, ensuring efficient handling of embeddings and AI-generated content.
1. Apply solid understanding of Azure AI Search and vector databases to enhance retrieval-augmented generation and semantic search capabilities within GenAI applications.
1. Participate in technical discussions and feasibility studies by evaluating GenAI architectures, technical alternatives, and risk factors to support project delivery.
1. 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).
1. Solid Experience With Python Programming For Ai Application Development.
1. Solid Knowledge Of Restful Api Design And Implementation Using Flask, Django, Or Fastapi.
1. Solid Skills In Relational Databases (Mysql, Postgresql) And Vector Databases (Pinecone, Vectordb).
1. Solid Understanding Of Embedding Techniques And Semantic Search Using Azure Ai Search.
1. Solid Ability To Analyze Technical Feasibility And Recommend Best Practices In Genai Solution Development.
Certification
1. Optional but valuable:
1. Certifications such as Microsoft Certified: Azure AI Engineer Associate
1. - Google Professional Machine Learning Engineer
Job Title/Role
Prompt engineering
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.
1. Develop RESTful APIs with Flask, Django, or FastAPI to enable seamless integration of LLM-based features into web and enterprise applications.
1. Integrate and manage data storage using MySQL, PostgreSQL, and VectorDB technologies such as Pinecone, ensuring efficient handling of embeddings and AI-generated content.
1. Apply solid understanding of Azure AI Search and vector databases to enhance retrieval-augmented generation and semantic search capabilities within GenAI applications.
1. Participate in technical discussions and feasibility studies by evaluating GenAI architectures, technical alternatives, and risk factors to support project delivery.
1. 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).
1. Solid Experience With Python Programming For Ai Application Development.
1. Solid Knowledge Of Restful Api Design And Implementation Using Flask, Django, Or Fastapi.
1. Solid Skills In Relational Databases (Mysql, Postgresql) And Vector Databases (Pinecone, Vectordb).
1. Solid Understanding Of Embedding Techniques And Semantic Search Using Azure Ai Search.
1. Solid Ability To Analyze Technical Feasibility And Recommend Best Practices In Genai Solution Development.
Certification
1. Optional but valuable:
1. Certifications such as Microsoft Certified: Azure AI Engineer Associate
1. - Google Professional Machine Learning Engineer






