Software Engineer – AI Agents, Generative AI

Jobtailor; Kentucky; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking an AI engineering professional to design, build, test, and deploy GenAI-driven applications. You will develop agentic workflows using LangGraph and LangChain, and create integrations via REST APIs to connect internal systems.

Collaborate with data scientists to operationalize AI models, monitor performance with observability tools, and contribute to best practices in model governance, scalability, and production software delivery.

Qualifications

• Hands-on experience developing applications in Python.
• Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
• Experience with agent orchestration frameworks such as LangGraph and/or LangChain.
• Experience developing and consuming REST APIs.
• Knowledge of Model Context Protocol (MCP) concepts and AI tool integrations.
• Experience deploying and supporting production software solutions.

Responsibilities

• Design, build, test, and deploy AI agents and GenAI-driven applications.
• Develop agentic workflows using LangGraph and LangChain.
• Build integrations with REST APIs and other service interfaces.
• Collaborate with data scientists to operationalize AI models and measure business impact.
• Monitor deployed AI agents using observability and telemetry tools to evaluate performance and reliability.
• Troubleshoot, optimize, and maintain AI applications in production.

Skills

Python Development

AI Integration

LangGraph Framework

REST API Development

Observability Tools

Education

Bachelor's degree

Tools

LangChain

Cloud-Native Development

Observability Tools

Job description

• Design, build, test, and deploy AI agents and GenAI-driven applications


• Develop agentic workflows using orchestration frameworks such as LangGraph and LangChain


• Build integrations with internal and external systems through REST APIs and other service interfaces


• Implement and support Model Context Protocol (MCP)-based solutions and integrations


• Develop AI-powered automation solutions for data and analytics use cases


• Collaborate with data scientists to operationalize AI models and measure business impact


• Monitor deployed AI agents using observability and telemetry tools to evaluate performance, reliability, and usage patterns


• Troubleshoot, optimize, and maintain AI applications in production environments


• Partner with data engineers and analytics teams to automate and enhance data workflows


• Contribute to best practices for AI engineering, model governance, scalability, and software development


• Develop, test, and implement software solutions


• Design software solutions to address business needs


• Write code, test, and deploy software


• Prepare technical and procedural documentation


• Maintain and debug software


• Manage customer-focused solutions and enterprise risks in accordance with PNC's Enterprise Risk Management Framework

Requirements

• Hands-on experience developing applications in Python


• Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions


• Experience with agent orchestration frameworks such as LangGraph and/or LangChain


• Experience developing and consuming REST APIs


• Knowledge of Model Context Protocol (MCP) concepts and AI tool integrations


• Experience deploying and supporting production software solutions


• Strong problem-solving skills and ability to work in a collaborative environment


• Experience building autonomous or agentic AI systems


• Experience with PySpark and/or data engineering pipelines


• Familiarity with cloud-native development and AI services


• Experience with observability, monitoring, telemetry, and operational analytics


• Experience working in large-scale enterprise environments


• University/college degree with 2+ years of relevant professional experience, or a comparable combination of education, job-specific certifications, and experience including military service


• Bachelor's degree listed under Education


• Must not require employment visa sponsorship; PNC will not participate in STEM OPT for this position

Core Competencies

Demonstrates expertise in developing AI-driven applications and agentic workflows using frameworks like LangGraph and LangChain, while effectively collaborating with data scientists and engineers to optimize data workflows and operationalize AI models.

Highest-signal resume keywords

• Python Development


• AI Integration


• LangGraph Framework


• REST API Development


• Observability Tools

Hard Skills

• AI Application Development


• Generative AI Solutions
  
• Model Context Protocol (MCP)


• PySpark


• Data Engineering Pipelines


• Software Testing


• Production Software Deployment


• Automation Solutions


• Telemetry


• Operational Analytics

Soft Skills

• Problem-Solving


• Collaboration

Industry Keywords

• Enterprise Risk Management


• AI Engineering Best Practices


• Model Governance


• Scalability

Tools & Technologies

• LangChain


• Cloud-Native Development


• Observability Tools