Sr Tech Lead-GenAI - VectorDBand PostgreSQL

Sapsf; United States; Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Sapsf is seeking a Sr Tech Lead-GenAI to drive GenAI solutions leveraging LLMs, embedding techniques, and modern Python frameworks. You will guide teams in API design, vector database integration, and scalable AI-powered applications across projects.

The role emphasizes technical leadership, architecture evaluation, and ensuring robust, compliant delivery of GenAI initiatives in a fast-paced environment.

Qualifications

• Advanced GenAI proficiency and prompt engineering.
• Strong Python experience w/ Flask, Django, FastAPI.
• Deep RESTful API design for AI integrations.
• Experience with vector databases and embeddings.

Responsabilités

• Provide advanced GenAI and prompt engineering for LLM-driven solutions.
• Architect and implement RESTful APIs for LLM models and vector databases.
• Optimize database schemas and embeddings for GenAI performance.
• Lead code reviews and enforce best practices in Python and API development.
• Lead feasibility studies, assess architectures and risks for GenAI modules.
• Collaborate with stakeholders to define technical objectives and ensure deployment compliance.

Connaissances

GenAI proficiency

Python expertise

RESTful API design

Database & VectorDB

Embeddings

Code quality & performance

Formation

TensorFlow Developer Certificate

Azure AI Engineer Associate

Outils

Pinecone

Azure AI Search

PostgreSQL

MySQL

Description du poste

Career Opportunities: Sr Tech Lead-GenAI - VectorDBand PostgreSQL (176425)

Requisition ID176425-Posted10/06/2026

This role is accountable for delivering advanced Generative AI solutions by leveraging large language models and prompt engineering techniques. The position drives technical excellence in project execution, ensures robust solution design, and optimizes AI-driven applications using modern Python frameworks and scalable database technologies. The individual acts as a technical authority, guiding teams in implementing best practices, and plays a key role in the successful delivery of complex AI projects aligned with organizational goals.

Key Responsibilities

• 1. Provide advanced proficiency in GenAI and prompt engineering by designing, refining, and deploying LLM-driven solutions using Python frameworks such as Flask, Django, and FastAPI.


• 2. Architect and implement RESTful APIs to integrate LLM models and vector databases (e.g., Pinecone, PostgreSQL, AzureAISearch) for scalable and efficient data retrieval in AI applications.


• 3. Optimize database schemas and embeddings using PostgreSQL and VectorDB to enhance performance and accuracy of generative AI systems.


• 4. Oversee code quality and performance by conducting comprehensive code reviews and enforcing best practices in Python, RESTful API development, and prompt engineering.


• 5. Lead technical feasibility studies and solution breakdowns, evaluating architecture alternatives and technical risks for GenAI project modules.


• 6. Collaborate with internal stakeholders to define technical objectives, deliverables, and ensure process compliance in the development and deployment of AI-powered solutions.

Skill Requirements

• 1. Advanced Proficiency In Genai, Large Language Models (Llms), And Prompt Engineering.


• 2. Solid Expertise In Python Programming, Including Frameworks Such As Flask, Django, And Fastapi.


• 3. Indepth Knowledge Of Restful Api Design And Implementation For Ai Integrations.


• 4. Advanced Skills In Database Management Using Postgresql, Mysql, And Vectordb Technologies (E.G., Pinecone, Azureaisearch).


• 5. Strong Understanding Of Embedding Techniques And Their Application In Generative Ai Workflows.


• 6. Experience In Optimizing Code Quality, Performance, And Scalability Of Aidriven Applications.

Other Requirements

• 1. Optional but valuable:


• 2. Certifications such as TensorFlow Developer Certificate


• 3. - Microsoft Azure AI Engineer Associat