Senior AI Engineer: Build Scalable LLM Apps (Python)

Reuben Cooley; Alpharetta (GA); On-site; USD 160,000 - 230,000; Full time

Job summary

Reuben Cooley is seeking a senior software engineer to design, build, and deploy Python-based AI/LLM applications. You will develop REST APIs and scalable enterprise solutions, and build AI-powered data analytics platforms to empower self-service insights.

The role requires 8+ years of software engineering experience plus strong leadership, architecture, and data engineering fundamentals for high-performance pipelines.

Qualifications

• Strong Python development with FastAPI or Flask.
• Experience building production-grade AI/LLM applications.
• Solid SQL, data modeling, and data engineering fundamentals.
• Expertise in concurrency, asynchronous programming, and performance optimization.
• Experience with testing, production support, and system reliability.
• Strong architectural design and technical leadership skills.

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

AI/LLM apps

SQL data modeling

Concurrency/async

Testing & reliability

Architectural leadership

Education

Bachelor's/Master's in Computer Science or equivalent

Tools

Jenkins

GitHub Actions

LangChain

LangGraph

Talk-to-Data

Job description

Reuben Cooley is seeking a senior software engineer to design, build, and deploy Python-based AI/LLM applications. You will develop REST APIs and scalable enterprise solutions, and build AI-powered data analytics platforms to empower self-service insights.

The role requires 8+ years of software engineering experience plus strong leadership, architecture, and data engineering fundamentals for high-performance pipelines.