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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in integrating AI platforms with internal systems, developing AI prototypes, and providing technical leadership within Agile teams. Proficient in translating business challenges into AI solutions and leveraging cloud platforms and machine learning techniques.
Highest-signal resume keywords
Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Azure Cloud PlatformsMicroservices DevelopmentAgile Delivery
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Programming ConceptsSoftware DesignSoftware Development PrinciplesMachine Learning ConceptsDevOps SkillsFlask FrameworkDjango FrameworkSpring FrameworkGitHub CopilotAgentic AI Systems
Soft Skills
Technical LeadershipMentoringCollaborationFeedback SeekingTime Management
Tools & Technologies
AI PlatformsAI ServicesMicroservicesAgile ToolsDevelopment Tools
Industry Keywords
AI IntegrationBusiness Use CasesCross-Functional InitiativesIterative DevelopmentPrototyping
Tech Stack
Tools & technologiesAzureCloudDjangoFlaskJavaMicroservicesSpring
About the role
Key responsibilities & impact- Integrate AI platforms with internal systems to support diverse business use cases
- Create AI prototypes and demos to drive adoption and showcase capabilities
- Provide technical leadership, mentor teams, and support cross-functional AI initiatives
- Translate business problems into AI use cases and technical solutions
- Work in Agile delivery teams and iterative development cycles
- Follow work processes and organize time to deliver assigned tasks
- Collaborate with others to achieve team goals and positively impact project performance
- Seek feedback and develop professionally with support
Requirements
What you’ll need- Foundational understanding of programming concepts, software design, and software development principles
- Practical experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques
- Working knowledge of Agentic AI systems
- Experience with core machine learning concepts and implementations
- Experience with Azure cloud platforms and AI services
- Hands-on DevOps skills
- Experience developing microservices using Flask, Django, or Spring (Java) frameworks
- Practical experience with GitHub Copilot and other AI tools for developers
- Ability to work in Agile delivery teams and iterative development cycles
- Experience translating business problems into AI use cases and technical solutions
Benefits
Comp & perks- Flexibility in how, when, and where people get their work done
- Work-life balance and greater empowerment
- Opportunities to deepen knowledge and learn new skills while doing the day job
- Diverse and inclusive work environment