Senior AI Engineer - Python, LLMs, Data Platform Lead

CLPS Global; Alpharetta (GA); On-site; USD 140,000 - 170,000; Full time

Job summary

Morgan Stanley in Alpharetta, GA is seeking a Senior AI Engineer to design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. You will develop REST APIs and data analytics platforms, optimize data pipelines, and mentor teams while collaborating with Risk stakeholders to deliver AI-driven solutions.

Applicants should have 8+ years of software engineering experience, strong Python, SQL, and data-engineering fundamentals, plus experience with production-grade AI/LLM systems

Qualifications

• 8+ years of software engineering experience.
• Bachelor's or Master's in Computer Science or equivalent.
• Experience building production-grade AI/LLM applications.
• Strong Python development and SQL/data modeling fundamentals.

Responsibilities

• Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
• Develop REST APIs and scalable enterprise solutions.
• Build AI-powered data analytics and self-service platforms.
• Optimize data pipelines for performance and scalability.
• Collaborate with Risk stakeholders to deliver AI-driven solutions.
• Provide technical leadership, architecture guidance, and mentor engineering teams.

Skills

Python development

FastAPI/Flask

API development

Data engineering fundamentals

Concurrency/Asynchronous

Testing/Production support

Technical leadership

Education

Bachelor's/Master's in CS

Tools

Docker

Kubernetes

Kafka

Redis

OpenTelemetry

Job description

Morgan Stanley in Alpharetta, GA is seeking a Senior AI Engineer to design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. You will develop REST APIs and data analytics platforms, optimize data pipelines, and mentor teams while collaborating with Risk stakeholders to deliver AI-driven solutions.

Applicants should have 8+ years of software engineering experience, strong Python, SQL, and data-engineering fundamentals, plus experience with production-grade AI/LLM systems