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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying Generative AI applications and AI agents, with a strong focus on performance optimization and compliance. Proficient in integrating AI solutions with enterprise applications and leading digital product ownership projects.
Highest-signal resume keywords
Generative AI DevelopmentPrompt EngineeringPython ProficiencyAI Agent FrameworksDigital Product 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
Generative AILLMsRAGEmbeddingsSemantic SearchREST APIsMicroservicesSQL/NoSQL DatabasesAI Application DeploymentSoftware Development
Soft Skills
CollaborationMentoringLeadership
Tools & Technologies
OpenAIAzure OpenAIAWSAzureGCPDockerKubernetesCI/CDLLMOpsMLOps
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer ScienceGraduate in Information TechnologyGraduate in Business
Industry Keywords
AI SolutionsEnterprise ApplicationsDigital Product OwnershipAgile StandardsIntelligent Workflows
Tech Stack
Tools & technologiesAWSAzureDockerGoogle Cloud PlatformKubernetesMicroservicesNoSQLPythonSQL
About the role
Key responsibilities & impact- Develop and deploy Generative AI applications, AI agents, and conversational AI solutions
- Build RAG-based systems and intelligent workflows using enterprise data sources
- Integrate AI solutions with enterprise applications, APIs, and databases
- Develop backend services and optimize AI applications for performance, accuracy, and cost
- Implement security, governance, monitoring, and compliance controls
- Collaborate with cross-functional teams to deliver production-ready solutions
- Build AI copilots and virtual assistants
- Build AI agents and multi-agent systems
- Build RAG-powered knowledge platforms
- Build intelligent workflow automation solutions
- Lead medium-sized digital product ownership projects
- Oversee Agile standards and documentation
- Mentor and develop junior team members
- Collaborate with other departments to align digital product ownership practices
Requirements
What you’ll need- 5–10 years of experience
- Hands-on experience with LLMs and Generative AI platforms, including OpenAI, Azure OpenAI, Gemini, Claude, and Llama
- Strong understanding of Prompt Engineering, RAG, embeddings, semantic search, and AI guardrails
- Experience with AI Agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
- Strong proficiency in Python, REST APIs, and microservices development
- Experience with AWS, Azure, or GCP
- Familiarity with vector databases, SQL/NoSQL databases, and AI application deployment
- Knowledge of Docker, Kubernetes, CI/CD, and LLMOps/MLOps practices
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of software development experience
- 2+ years of hands-on experience building Generative AI or LLM-based applications
- Experience delivering enterprise-grade production solutions
- Graduate in Computer Science, Information Technology, Business, or a related field
- 3–4 years of experience in digital product management or IT