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Senior Technical Consultant – AI Agents, Software Engineering
EPI-USE Brasil. Help the team use AI agents reliably throughout the software development lifecycle .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and integrating AI-assisted workflows throughout the software development lifecycle, ensuring operational reliability and adherence to engineering standards. Proficient in establishing automated checks and improving the reliability of AI-generated outputs while managing operational costs.
Highest-signal resume keywords
AI-Assisted Workflow DesignAutomated Checks and EvaluationsIntegration with CI/CD PipelinesReliability Improvement of Model-Generated CodeOperational Cost Management
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 IntegrationAutomated TestingSoftware Development LifecycleCode ReviewOperational SupportRequirements GatheringDocumentationDeploymentLatency MeasurementModel Usage Management
Soft Skills
Problem-SolvingSystematic ImprovementCollaboration
Tools & Technologies
CI/CD ToolsVersion Control SystemsTesting Frameworks
Industry Keywords
Software Engineering StandardsOperational ReliabilityCost ManagementGovernance ProcessesData Protection
About the role
Key responsibilities & impact- Help the team use AI agents reliably throughout the software development lifecycle
- Maintain engineering standards related to correctness, security, maintainability, operational reliability, and cost
- Design AI-assisted workflows for requirements, design, coding, testing, code review, documentation, deployment, and operational support
- Establish automated checks, evaluations, tests, and approval gates for AI-generated outputs
- Integrate AI agent capabilities with repositories, CI/CD pipelines, testing practices, and existing governance processes
Requirements
What you’ll need- Experience beyond demonstrations or one-off experiments
- Evidence of systems used by software engineers or integrated into real-world development workflows
- Experience designing AI-assisted workflows for requirements, design, coding, testing, code review, documentation, deployment, or operational support
- Experience improving the reliability and consistency of model-generated code
- Experience establishing automated checks, evaluations, tests, and approval stages for AI-generated outputs
- Ability to determine when work should be performed by a single agent, multiple specialized agents, or conventional automation
- Experience diagnosing recurring issues in agent behavior and systematically improving workflows
- Knowledge of protecting source code, credentials, customer data, prompts, tools, and generated artifacts
- Knowledge of selecting, storing, and transmitting information between workflow stages while maintaining it within model context limits
- Ability to measure and manage latency, token consumption, model usage, and operational costs
- Experience integrating with existing repositories, CI/CD pipelines, testing practices, and governance processes
Benefits
Comp & perks- Work on high-impact projects for major clients with significant market impact
- Award-winning team recognized as a leader in SAP HXM solutions
- Cutting-edge technologies such as SAP S/4HANA, ERP, SAP BTP, SuccessFactors, WorkForce, ServiceNow, and more
- Recognition as a Great Place to Work and for delivery excellence
- Collaborative culture focused on innovation and professional development
- Inclusive environment that values diversity and encourages applications from people of all backgrounds, gender identities, races, cultures, beliefs, religions, sexual orientations, and people with disabilities