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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI-enabled applications with a focus on full-stack development, cloud-native practices, and modern software engineering patterns. Proficient in translating complex business requirements into scalable and secure technical solutions while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Full-Stack Application DevelopmentAI-Enabled Application DeliveryLarge Language Models (LLMs)Microsoft Azure Cloud DevelopmentREST API Design and Development
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build modern, cloud-based, AI-enabled applications that support business decision-making
- Design, develop, test, and maintain full-stack applications, including user interfaces, APIs, backend services, and integration layers
- Design and integrate AI-enabled and Generative AI features
- Lead AI application patterns involving LLMs, prompt engineering, orchestration, RAG, semantic search, model evaluation, guardrails, and human-in-the-loop workflows
- Translate business, risk, and operational requirements into secure, scalable, maintainable, and measurable technical solutions
- Establish engineering practices for AI-enabled application lifecycle management, performance monitoring, value tracking, evaluation, and continuous improvement
- Collaborate with engineers, product teams, stakeholders, risk and security partners on design, code reviews, troubleshooting, documentation, and continuous improvement
- Support modern software engineering patterns, cloud-native practices, Microsoft Azure, API-driven architectures, and AI-enabled development
- Identify reusable engineering patterns, scalable AI assets, data enrichment opportunities, and modernization paths
- Advise business, technology, risk, security, and product leaders on technical design patterns and delivery blockers
Requirements
What you’ll need- 7 years of industry experience in full-stack application design and development
- At least 1 year of experience in AI-enabled application delivery
- 1 year of hands-on experience with Generative and Agentic AI
- Experience with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI governance, and responsible AI practices
- Strong hands-on experience with Python
- Strong experience building modern frontend and full-stack web applications using React JS
- Experience designing, building, and supporting REST APIs, backend services, microservices, and integration layers
- Experience with relational databases such as Azure SQL and PostgreSQL
- SQL query development, application integration, and data modeling concepts
- Practical experience with Microsoft Azure cloud-based application development or support
- Experience with CI/CD pipelines, secure coding practices, production support, logging, and monitoring capabilities
Benefits
Comp & perks- Flexible environment supporting well-being and inclusion
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Paid holidays, vacation, personal, and sick days
- Statutory leaves of absence
- Incentive programs and incentive compensation tied to business and individual performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonReact JSSQL Query DevelopmentData ModelingMicroservicesCI/CD PipelinesSecure Coding PracticesApplication IntegrationPerformance MonitoringGenerative AI
Soft Skills
CollaborationProblem-SolvingCommunicationLeadership
Tools & Technologies
Microsoft AzureAzure SQLPostgreSQLLogging and Monitoring Tools
Industry Keywords
AI GovernanceResponsible AI PracticesPrompt EngineeringRetrieval-Augmented Generation (RAG)Human-in-the-Loop Workflows