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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing AI-powered data applications, including data processing, user interface design, and evaluation. Proficient in building retrieval-augmented generation systems and ensuring compliance with privacy and security practices for sensitive data.
Highest-signal resume keywords
AI-Powered Data Application DevelopmentRetrieval-Augmented Generation SystemsPython ProgrammingWeb Application Development with ReactAgile Methodology
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ProcessingAlgorithmsData StructuresDebuggingUnit TestingSoftware Design PatternsCI/CDAPIsService-Oriented ArchitectureData Architecture and Design
Soft Skills
Technical GuidanceMentorshipCollaborationProblem SolvingClient Communication
Tools & Technologies
JIRACloud Serverless ComputingDevOpsInteractive DashboardsKnowledge Graphs
Industry Keywords
Child Outcomes Summary DataPublic-Sector DataPrivacy and Security PracticesEvaluation ProcessesEducation Data
Tech Stack
Tools & technologiesCloudPythonReactSDLC
About the role
Key responsibilities & impact- Continue development of AI-powered data tools for early intervention programs
- Own the application end to end, including data processing, user interface, AI capabilities, and evaluation
- Build and maintain an interactive dashboard for Part C teams to explore Child Outcomes Summary data
- Provide data-grounded guidance using national technical assistance resources
- Define complex business, clinical, and education problems through client meetings and process observation
- Gather and document complex system requirements
- Develop project plans, functional and technical specifications, data structures, transformations, algorithms, and outputs
- Design, build, maintain, and document an AI-powered data application
- Develop generative AI features using retrieval-augmented generation over authoritative domain sources
- Establish quantitative and expert-review evaluation processes for AI outputs
- Protect sensitive personally identifiable information and ensure responsible, cost-effective AI use
- Create and execute complex test scenarios; validate application functionality and error handling
- Implement changes under change-management procedures
- Monitor applications, resolve complex problems, and provide production support
- Collaborate with the Frontend UX Engineer and domain experts
- Provide technical guidance and mentorship to junior staff
- Author technical and end-user documentation
Requirements
What you’ll need- Bachelor's Degree (or foreign equivalent) in computer science, computer information systems, information technology, electronic engineering, or a related field
- Five years of related work experience with computer systems and applications
- Additional education may substitute for required experience; additional related experience may substitute for required education beyond HS Diploma/Graduation Equivalent, subject to the JHU equivalency formula
- Knowledge of the assigned application and its platform
- Experience with data-driven applications, preferably in Python
- Experience building retrieval-augmented generation (RAG) systems, vector databases, knowledge graphs, and retrieval evaluation
- Experience designing LLM-powered features, prompt engineering, and tool-using agents
- Experience building and deploying web applications, including React and serverless functions
- Experience evaluating AI systems using quantitative measures and human review
- Understanding of privacy and security practices for sensitive data
- Portfolio demonstrating AI systems built and evaluated
- Experience with client-side data processing, document retrieval preparation, and education or public-sector data
- Intermediate proficiency in Agile Methodology, algorithms, APIs, CI/CD, cloud serverless computing, code review, data architecture and design, data structures, debugging, DevOps, JIRA, new product development, secure coding, service-oriented architecture, software design patterns, SDLC, software engineering, and unit testing
- Successful candidates subject to a pre-employment background check
- Johns Hopkins faculty, staff, and students must receive the seasonal flu vaccine, subject to exceptions
Benefits
Comp & perks- Total rewards package supporting health, life, career, and retirement
- Seasonal flu vaccine, with religious or medical exceptions
- Pre-employment accommodations and accessibility support
- Required vaccinations for applicable positions provided at no cost
- Remote work arrangement