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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building modular, responsive web applications using React and Vue.js, along with secure API design and implementation using TypeScript, ASP.NET Core, or Java. Proficient in machine learning model development and integration of LLM-based solutions within regulated environments.
Highest-signal resume keywords
React Application DevelopmentVue.js Application DevelopmentAPI Design and ImplementationMachine Learning Model DevelopmentLLM-Based Solutions Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ReactVue.jsTypeScriptASP.NET CoreJava (Spring Framework)SQL ServerEntity Framework CoreMachine LearningPrompt EngineeringAPI Integration
Soft Skills
Effective CommunicationCollaborationProblem-Solving
Tools & Technologies
MLflowAgile MethodologiesCI/CDVersion ControlStructured Logging
Industry Keywords
Federal GovernmentDigital ServicesPublic Trust Background CheckSecurity Best PracticesRegulated Environment
Tech Stack
Tools & technologiesASP.NETAzureEntity FrameworkJavaJavaScriptReactSOAPSpringSQLTypeScriptVue.js.NET
About the role
Key responsibilities & impact- Build modular, responsive web applications using React and/or Vue.js aligned with accessibility and UX best practices.
- Design and implement secure, scalable APIs using TypeScript, ASP.NET Core, or Java with Spring Framework.
- Integrate enterprise systems via SOAP and RESTful APIs with robust error handling.
- Implement authentication, authorization, and secure configuration according to client agency security policies.
- Optimize database access and performance using SQL Server and Entity Framework Core.
- Add observability through structured logging, metrics, and tracing; support incident response with clear runbooks.
- Design and implement AI agents and LLM-powered applications to automate and enhance retirement data workflows.
- Build, evaluate, and maintain machine learning models for classification, prediction, and anomaly detection.
- Integrate LLMs into production systems using prompt engineering, retrieval-augmented generation, and agentic frameworks.
- Develop and maintain data pipelines that ingest, validate, and transform large-scale structured and unstructured data.
- Apply explainable AI practices in a regulated, auditable government environment.
- Track model performance and manage the ML lifecycle using tools such as MLflow.
- Participate in Agile ceremonies, conduct code reviews, and contribute to release planning and documentation.
- Work across technical and policy teams to translate business requirements into reliable, AI-driven solutions.
- Uphold version control, CI/CD, testing, and peer review across application and AI workstreams.
- Build a retirement benefits management system for federal government employees.
Requirements
What you’ll need- Full-time resident of the contiguous United States.
- Must be legally authorized to work in the US now and in the future without sponsorship.
- Ability to pass a Public Trust background check and any applicable background and/or security checks related to project requirements.
- Proficiency in React, Vue.js, JavaScript, TypeScript, ASP.NET Core, and Java (Spring Framework).
- Strong SQL skills and experience with SQL Server, plus familiarity with EF Core.
- Experience with enterprise integrations including message queues, database RPC, REST, and SOAP APIs.
- Understanding of authentication, authorization, and security best practices.
- Hands-on experience building or deploying LLM-based solutions, such as OpenAI, Anthropic, Azure OpenAI, or open-source models.
- Familiarity with agentic AI patterns, including tool use, planning, memory, and multi-step reasoning.
- Experience with RAG pipelines, vector databases, and embedding-based retrieval.
- Experience using coding agents such as CoPilot or Claude Code.
- Effective prompt engineering and experience evaluating LLM outputs for reliability and correctness.
- 5+ years of experience building applications with open-source programming languages (preferred).
- 5+ years of experience working with modern frameworks, libraries, or runtimes (preferred).
- 5+ years of experience working with APIs and databases of various types (preferred).
- 5+ years of experience working with infrastructure tools and Infrastructure as Code (preferred).
- Experience developing software in a remote environment (preferred).
- Experience working in digital services, federal government, or federal government contracting industries (preferred).
Benefits
Comp & perks- Will prioritize and maintain access to strong, reliable internet for the remote nature of our work, except when on vacation or holiday.
- Will keep the highest security practices to ensure privacy and security of Coforma and client information, given the nature of our work, even when on vacation.
- On request and with advanced notice, will attend in-person events such as meetings, workshops, and trainings as assigned for projects that require it.
- Will represent Coforma professionally and sincerely, modeling our Company Values in all interactions.
- Growth potential