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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI applications using Large Language Models and agentic AI frameworks, while ensuring compliance and security best practices. Proficient in full-stack development with a focus on scalable and reliable software solutions.
Highest-signal resume keywords
AI/Generative AI Application DevelopmentLarge Language Models (LLMs)Java ProgrammingMicroservices ArchitectureDocker and Kubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaPythonSpring BootFastAPINode.jsREST APIsGraphQLSQL ServerPostgreSQLMongoDB
Soft Skills
CollaborationContinuous ImprovementProblem-Solving
Tools & Technologies
Azure OpenAIAzure AI ServicesAWS BedrockLangChainLangGraphGitHubGitHub CopilotCI/CD Pipelines
Industry Keywords
Software Reliability EngineeringAgile MethodologiesCode ReviewsTechnical DocumentationDevOps Practices
Tech Stack
Tools & technologiesAWSAzureDockerGraphQLJavaJavaScriptKubernetesMicroservicesMongoDBNode.jsPostgresPythonSpringSpring BootSpringBootSQL
About the role
Key responsibilities & impact- Analyze, design, test, develop, operate, and maintain software products
- Take full-stack ownership by writing production-ready and testable code
- Create optimal designs following architectural best practices, considering scalability, reliability, and performance
- Analyze failures, propose design changes, and encourage operational improvements
- Make design and coding decisions with customer experience in mind
- Apply code-review feedback and conduct code reviews
- Ensure product development follows compliance and security best practices
- Apply software reliability engineering standards
- Contribute to technology transformation and emerging technology best practices
- Contribute to innovation, collaboration, and continuous improvement
- Prioritize and size tasks for incremental delivery and communicate blockers and delays
Requirements
What you’ll need- Bachelor’s degree, or equivalent work experience
- Three to five years of relevant experience
- Experience designing and deploying AI/Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embedding models, and prompt engineering
- Hands-on experience with agentic AI frameworks including LangChain and LangGraph
- Experience integrating Azure OpenAI, Azure AI Services, AWS Bedrock, and other AI/LLM platforms into enterprise applications
- Strong programming experience with Java, Python, Spring Boot, FastAPI, and Node.js
- Proven ability to build and consume REST APIs, GraphQL services, and microservices architectures
- Experience working with vector databases, SQL Server, PostgreSQL, and MongoDB
- Knowledge of Docker, Kubernetes, CI/CD pipelines, GitHub, and modern DevOps practices
- Experience leveraging GitHub Copilot and other AI-assisted development tools
- Familiarity with Agile methodologies, code reviews, technical documentation, and software engineering best practices
- Ability to work from a U.S. Bank location three or more days per week
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
- Incentive and recognition programs
- Equity stock purchase
- Pension