GenAI & AI Agent Engineer - Python & LangChain

PNC; Strongsville (OH); On-site; USD 75,000 - 138,000; Full time

Benefits offered by this job

Medical coverage

Dental and vision

401(k) with match

Stock purchase program

Paid holidays

Job summary

PNC offers a role for a Software Engineer to design, develop, and deploy AI-powered applications within the Data & Analytics space. You will work closely with data scientists and engineers to translate business needs into scalable AI solutions.

This position emphasizes production monitoring, optimization, and collaboration across enterprise data workflows. Based in Pittsburgh, PA or Cleveland, OH, the role requires hands-on Python and experience with AI tooling.

Qualifications

• Hands-on Python development experience.
• Experience with AI/LLM-based solutions and agent orchestration.
• Experience with LangGraph/LangChain frameworks.
• Experience developing and consuming REST APIs.
• Knowledge of MCP concepts and AI tool integrations.
• Experience deploying production software and observability.

Responsibilities

• Design, build, test, and deploy AI agents and GenAI apps.
• Develop agentic workflows with LangGraph and LangChain.
• Integrate systems via REST APIs and service interfaces.
• Implement MCP-based solutions and integrations.
• Advance AI-powered automation for data analytics.
• Partner with data scientists to operationalize models.
• Monitor production AI solutions with telemetry.
• Maintain and optimize AI apps in production.
• Collaborate across data engineers and analytics teams.

Skills

Python

AI / LLM

LangGraph

LangChain

REST APIs

MCP

Production software

PySpark

Cloud-native

Observability

Education

Bachelors

Tools

LangGraph

LangChain

REST APIs

PySpark

Job description

PNC offers a role for a Software Engineer to design, develop, and deploy AI-powered applications within the Data & Analytics space. You will work closely with data scientists and engineers to translate business needs into scalable AI solutions.

This position emphasizes production monitoring, optimization, and collaboration across enterprise data workflows. Based in Pittsburgh, PA or Cleveland, OH, the role requires hands-on Python and experience with AI tooling.