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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing agentic flows within the software development lifecycle, utilizing generative AI tools and cloud computing technologies. Proficient in integrating AI solutions while ensuring compliance with quality and security standards.
Highest-signal resume keywords
Software Development (Java, Python)CI/CD PipelinesGenerative AI Tools (Claude Code, GitHub Copilot)Cloud Computing (AWS)Code Quality Practices (Automated Testing, BDD, SAST)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentJavaPythonCI/CDDevOpsCloud ComputingAWSGenerative AIAutomated TestingMicroservices Architecture
Tools & Technologies
Azure DevOpsGitSonarQubeVeracodeFlow OpsDatabricks
Industry Keywords
Benefits SectorFintechAgentic FrameworksEthical StandardsRegulatory Standards
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonSDLCSpringSpring BootSpringBoot
About the role
Key responsibilities & impact- You will be responsible for designing, implementing, and evolving agentic flows that transform the SDLC of development teams at a strategic benefits-sector client.
- While the AI Orchestrator coordinates the process, the AI Engineer builds the infrastructure that makes automation possible — from custom agents to integrations with the delivery pipeline.
- Customize and configure generative AI platforms to meet the client's specific SDLC needs (skills, personas, prompts, contexts)
- Develop and maintain agentic flows integrated with the development pipeline (Azure DevOps, Git, CI/CD)
- Integrate AI agents across multiple stages of the SDLC: analysis, refinement, development, testing, and deployment
- Tune agent parameters and strategies for optimal performance at each stage
- Plan and execute the AI infrastructure roadmap together with the AI Orchestrator
- Automate development steps while maintaining quality, security, and compliance standards (SonarQube, Veracode, test coverage)
- Identify and mitigate technical risks related to agent usage in production
- Ensure adherence to ethical and regulatory standards in implemented AI solutions
Requirements
What you’ll need- Strong experience in software development (Java, Python, or similar)
- Familiarity with CI/CD pipelines and DevOps tools (Azure DevOps, GitFlow, SonarQube)
- Experience with cloud computing, especially AWS (Lambda, SQS, S3)
- Hands-on knowledge of generative AI tools applied to development (Claude Code, GitHub Copilot, or similar)
- Ability to write and review prompts, configure agents, and evaluate output quality
- Understanding of code quality practices: automated testing, BDD, SAST
- Nice-to-haves:
- - Experience with agentic frameworks and methods (AISDD, Spec-Kit, or similar)
- - Knowledge of microservices architecture (Spring Boot, Quarkus)
- - Familiarity with flow observability tools (Flow Ops, Databricks, or similar)
- - Experience on large-scale projects with multiple concurrent teams or squads
- - Experience in the benefits sector or fintechs
Benefits
Comp & perks- Health and dental insurance
- Food and meal allowance
- Childcare assistance
- Extended parental leave
- Partnerships with gyms and health/wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to promoting physical and mental health and well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- And many more