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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI platform development, including model routing, API integrations, and automated testing. Proficient in Python and modern application development languages, with a strong focus on security, compliance, and collaboration within engineering teams.
Highest-signal resume keywords
AI Platform DevelopmentPython ProgrammingAPI IntegrationAutomated TestingCollaboration Skills
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, test, and maintain AI platform components, services, connectors, and internal tools
- Implement model routing, prompt execution patterns, API integrations, and reusable utilities
- Improve reliability, performance, observability, and usability of AI engineering tools
- Support production operations, troubleshooting, monitoring, issue remediation, and potential on-call incident response
- Develop reusable agents, skills, workflow components, and connectors for engineering teams
- Implement agent behaviors, tool calls, structured workflows, and integration logic for AI-assisted SDLC use cases
- Build and maintain evaluation workflows, automated tests, regression checks, quality benchmarks, and validation approaches
- Support versioning, release management, rollback readiness, and lifecycle management for AI components
- Analyze model and agent behavior for quality, cost, latency, security, and reliability concerns
- Embed logging, access control, data classification, and risk controls into AI workflows
- Work with security and governance partners on responsible AI requirements
- Validate sensitive-data handling and adherence to defined guardrails
- Remediate security, compliance, and audit findings
- Collaborate with software engineering teams to identify AI-enabled workflow improvements
- Build examples, templates, and golden-path patterns to accelerate adoption
- Support onboarding, technical guidance, and issue resolution for engineering users
- Contribute to team standards, documentation, and communities of practice
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical field, or equivalent work experience
- Typically 5+ years of experience in software engineering, AI engineering, ML engineering, platform engineering, automation, or developer productivity roles
- Strong programming skills, preferably in Python and one or more modern application development languages
- Experience building APIs, services, integrations, automated tests, and cloud-based applications
- Experience with LLM application patterns, prompt engineering, RAG, agent frameworks, LLMOps, evaluation techniques, or AI-assisted development tools strongly preferred
- Sound engineering judgment
- Strong collaboration skills
- Ability to independently deliver reliable technical solutions in a secure environment
- Applicants must be authorized to work in the United States without the need for sponsorship now or in the future
Benefits
Comp & perks- Eligibility for incentive awards based on both individual and business performance
- Comprehensive range of benefits
- Rewarding and challenging career opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI EngineeringML EngineeringPlatform EngineeringAutomationDeveloper ProductivityPrompt EngineeringLLM Application PatternsEvaluation TechniquesCloud-Based ApplicationsIntegration Logic
Soft Skills
Strong Collaboration SkillsSound Engineering JudgmentIndependent Problem Solving
Tools & Technologies
AI-Assisted Development ToolsAgent FrameworksRAGLLMOps
Industry Keywords
Software EngineeringInformation SystemsSecurity ComplianceRisk ControlsData Classification