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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 AI-powered applications, with a strong focus on Generative AI technologies, cloud platforms, and modern software engineering practices. Proficient in building scalable APIs and microservices while implementing MLOps and CI/CD pipelines for efficient AI solutions.
Highest-signal resume keywords
Python ProgrammingGenerative AI TechnologiesCloud Platforms (Azure, AWS)Kubernetes and DockerMLOps Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
API DevelopmentMicroservices ArchitectureAI Application DevelopmentSoftware Engineering PracticesContainerizationAgile MethodologiesDevOps PracticesAI WorkflowsScalable Application DevelopmentPerformance Optimization
Soft Skills
Problem-SolvingAnalytical SkillsCollaboration
Tools & Technologies
CI/CD PipelinesCloud-Native SolutionsVector DatabasesAI Evaluation Frameworks
Industry Keywords
Enterprise ApplicationsAI Automation SolutionsAI Engineering Best PracticesEnterprise SecurityGovernance
Tech Stack
Tools & technologiesAWSAzureCloudDockerKubernetesMicroservicesPythonSDLC
About the role
Key responsibilities & impact- Design, develop, and deploy AI-powered applications and platforms supporting enterprise business objectives
- Build Generative AI solutions using LLMs, RAG architectures, and agent-based workflows
- Develop intelligent assistants, copilots, chatbots, and AI automation solutions
- Transform AI concepts, proofs of concept, and prototypes into production-ready software products
- Design and build scalable APIs, microservices, and backend services
- Integrate AI capabilities into enterprise platforms, business systems, and customer-facing applications
- Develop secure, reliable, and reusable application components
- Partner with cross-functional teams to translate business requirements into technical solutions
- Deploy and manage AI workloads across Azure and AWS
- Implement containerized and cloud-native solutions using Kubernetes and modern orchestration technologies
- Build and maintain enterprise-grade AI platforms for high-volume production workloads
- Optimize performance, reliability, security, and scalability of AI services
- Establish and maintain CI/CD pipelines
- Implement MLOps practices for deployment, monitoring, testing, and lifecycle management
- Support model integration, version management, governance, and operational excellence
- Monitor production environments and improve platform performance and user experience
- Evaluate emerging AI technologies and identify enterprise adoption opportunities
- Contribute to technical architecture decisions and AI engineering best practices
- Drive continuous improvement across AI development methodologies and delivery frameworks
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
- Experience developing enterprise applications using modern software engineering practices
- Strong proficiency in Python and modern application development frameworks
- Experience building RESTful APIs and microservices
- Knowledge of Generative AI technologies, LLMs, and AI application architectures
- Experience with cloud platforms such as Azure and/or AWS
- Experience working within Agile and SDLC environments
- Knowledge of CI/CD pipelines, DevOps practices, and software release management
- Experience with containerization and orchestration technologies such as Kubernetes and Docker
- Strong problem-solving, analytical, and collaboration skills
- Preferred: Experience building RAG solutions
- Preferred: Experience developing agentic AI workflows and autonomous AI systems
- Preferred: Knowledge of MLOps platforms and machine learning deployment practices
- Preferred: Experience integrating AI solutions into enterprise business systems
- Preferred: Familiarity with vector databases, prompt engineering, and AI evaluation frameworks
- Preferred: Experience developing scalable cloud-native AI applications
- Preferred: Exposure to enterprise security, governance, and responsible AI practices
Benefits
Comp & perks- Equal employment opportunity and reasonable accommodations for qualified individuals with disabilities
- Fair chance employer; background checks begin after an offer is made