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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI-driven applications, with a strong focus on Python programming, agent orchestration frameworks, and REST API integrations. Capable of collaborating with cross-functional teams to operationalize AI models and enhance data workflows while ensuring best practices in AI engineering and software development.
Highest-signal resume keywords
Python DevelopmentAI IntegrationLangGraph OrchestrationREST API DevelopmentModel Context Protocol (MCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI ApplicationsGenerative AILangGraphLangChainREST APIsModel Context Protocol (MCP)PySparkData EngineeringSoftware Development
Soft Skills
Problem-SolvingCollaboration
Tools & Technologies
Observability ToolsTelemetry ToolsCloud-Native DevelopmentAI Services
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
AI EngineeringMachine LearningAutonomous SystemsOperational AnalyticsEnterprise Environments
Tech Stack
Tools & technologiesCloudPySparkPython
About the role
Key responsibilities & impact- Design, build, test, and deploy AI agents and Generative AI-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
- Analyze performance, reliability, usage patterns, and telemetry metrics
- Troubleshoot, optimize, and maintain production AI applications
- 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
Requirements
What you’ll need- 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 preferred
- Experience with PySpark and/or data engineering pipelines preferred
- Familiarity with cloud-native development and AI services preferred
- Experience with observability, monitoring, telemetry, and operational analytics preferred
- Experience working in large-scale enterprise environments preferred
- University / college degree typically required, or a comparable combination of education, job specific certification(s), and experience may be considered in lieu of a degree
- 2+ years of relevant professional experience
- No employment visa sponsorship or STEM OPT
- Bachelor's education listed
Benefits
Comp & perks- Medical/prescription drug coverage with a Health Savings Account feature
- Dental and vision options
- Employee and spouse/child life insurance
- Short- and long-term disability protection
- 401(k) with PNC match
- Pension plan
- Stock purchase plan
- Dependent care reimbursement account
- Back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select programs fully paid
- Wellness program with financial incentives
- Maternity and/or parental leave
- Up to 11 paid holidays each year
- 9 occasional absence days each year
- 15 to 25 vacation days each year, depending on career level
