Sr Tech Lead-GenAI - VectorDBand MySQL

Sapsf; United States; Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Sapsf in the United States is seeking a Sr Tech Lead-GenAI to drive GenAI initiatives, architect scalable AI applications, and guide a multidisciplinary team.

You will design data pipelines with MySQL, PostgreSQL, VectorDB, and implement prompt engineering, model integration, and cloud services like Azure AI Search.

Formación

• Expertise in GenAI, LLMs, and prompt engineering.

Responsabilidades

• Lead GenAI solution development with scalable applications.
• Develop and optimize RESTful APIs with Python frameworks.
• Design data pipelines using MySQL, PostgreSQL, and VectorDB.
• Apply prompt engineering to improve LLM performance.
• Oversee code quality through reviews and best practices.
• Integrate Azure AI Search and other cloud tools.
• Collaborate to resolve technical challenges and ensure compliance.

Conocimientos

GenAI

LLMs

Prompt engineering

Python

Flask

Django

FastAPI

REST APIs

MySQL

PostgreSQL

VectorDB

Pinecone

Azure AI

Code reviews

Herramientas

Flask

Django

FastAPI

Descripción del empleo

Career Opportunities: Sr Tech Lead-GenAI - VectorDBand MySQL (180719)

Requisition ID180719-Posted10/16/2026

This role is accountable for delivering advanced Generative AI solutions by leveraging expertise in Large Language Models (LLMs), prompt engineering, and modern Python frameworks. The individual applies advanced proficiency in designing, developing, and optimizing AI-driven applications, ensuring technical excellence and strategic alignment with project goals. They guide teams in implementing robust architectures and best practices, contributing to the successful execution of complex development projects.

Key Responsibilities

• 1. Lead solution development using GenAI, LLMs, and prompt engineering to architect and implement scalable AI applications, ensuring alignment with project requirements.


• 2. Develop and optimize RESTful APIs with Python frameworks such as Flask, Django, and FastAPI to enable seamless integration of AI models and data sources.


• 3. Design and maintain data pipelines utilizing MySQL, PostgreSQL, and VectorDB technologies (e.g., Pinecone), ensuring efficient storage and retrieval of embeddings and model outputs.


• 4. Implement advanced prompt engineering techniques to enhance LLM performance, tailoring prompts for specific use cases and optimizing model responses.


• 5. Oversee code quality and performance by conducting comprehensive code reviews and enforcing best practices in Python and AI model development.


• 6. Integrate Azure AI Search and other cloud-based tools to support retrieval-augmented generation and scalable deployment of GenAI solutions.


• 7. Collaborate within the development team to resolve technical challenges, provide guidance on architectural decisions, and ensure process compliance throughout the project lifecycle.

Skill Requirements

• 1. Advanced Proficiency In Genai, Llms, And Prompt Engineering For Solution Design And Implementation.


• 2. Solid Experience With Python And Frameworks Such As Flask, Django, And Fastapi.


• 3. Advanced Knowledge Of Restful Api Development And Integration.


• 4. Indepth Expertise In Relational And Vector Databases, Including Mysql, Postgresql, And Pinecone.


• 5. Advanced Skills In Embeddings, Retrievalaugmented Generation, And Cloud Ai Services (E.G., Azure Ai Search).


• 6. Strong Understanding Of Code Optimization, Performance Tuning, And Quality Assurance In Aicentric Projects.

Other Requirements

• 1. Optional but valuable:


• 2. Microsoft Certified: Azure AI Engineer Associate


• 3. - Google Professional Machine Learning Enginee