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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software development using Python and React, with a strong focus on deploying and operating production Generative AI agents on AWS. Capable of implementing enterprise security measures and optimizing AI service performance while providing technical guidance to junior engineers.
Highest-signal resume keywords
Full-Stack Software DevelopmentGenerative AI ApplicationsAWS DeploymentPython and React ProficiencyCI/CD with GitHub Actions
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own a build stream end to end within a pod, from problem shaping through implementation, production operation, and instrumentation
- Design, build, and operate production Generative AI agents, workflows, and applications
- Develop full-stack software in Python and React
- Deploy and operate services on AWS using Terraform and GitHub Actions
- Implement evaluation, observability, provenance, confirmation controls, and human-in-the-loop controls for AI systems
- Implement authentication, authorization, logging, monitoring, and error handling for enterprise security, auditability, PHI, and reliability requirements
- Integrate AI services with enterprise and legacy systems using APIs, data platforms, and event streams
- Steward assigned shared capabilities and prevent duplicate builds
- Co-develop with vendor delivery teams when required
- Work with examiners, nurse reviewers, and operations staff to scope services, workflows, and UI changes
- Provide technical guidance and mentoring to Junior AI Engineers
- Troubleshoot, lead root cause analysis, and optimize production AI service performance
- Evaluate and recommend improvements to architecture, platform capabilities, and engineering processes
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required
- Master’s degree preferred
- Six (6) + years of software engineering experience
- At least three (3) years shipping production Generative AI agents, workflows, or applications, including evaluation, failure handling, and a human review loop, or an equivalent combination of education and experience
- Hands-on experience building and operating production workloads on AWS required
- Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure
- Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
- Production experience with Generative AI agents, workflows, and applications, including tool use, orchestration, evaluation, and human-in-the-loop patterns
- Ability to implement services aligned with enterprise architecture, governance, PHI handling, and compliance requirements
- Experience with machine learning, model fine-tuning, and/or graph databases preferred
- Experience with PydanticAI or equivalent agent framework, agent observability, and AI Ops / LLMOps a plus
- Ability to meet or exceed Performance Competencies
Benefits
Comp & perks- Work-life balance
- Travel as required, including on-site work with claims or Managed Care operations and vendor delivery teams
- Sedgwick is a Great Place to Work®
- Equal Opportunity Employer and Drug-Free Workplace
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonReactAWSTerraformSQLREST APIsGenerative AIMachine LearningPydanticAICI/CD
Soft Skills
Technical GuidanceMentoringTroubleshootingRoot Cause AnalysisCollaboration
Tools & Technologies
GitHub ActionsTerraformAI OpsLLMOpsData Platforms
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree Preferred
Industry Keywords
Enterprise ArchitectureCompliance RequirementsPHI HandlingObservabilityHuman-in-the-Loop