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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python-based software development, AI integration, and building scalable solutions. Proficient in collaborative development practices and familiar with cloud platforms and containerization technologies.
Highest-signal resume keywords
Python ProficiencyAI/ML ConceptsLangChain ExperienceREST API IntegrationCI/CD Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAI/MLLangChainLangGraphLangfuseREST APIsSQLNoSQLTensorFlowDocker
Tools & Technologies
GitKubernetesAWSAzureGCP
Industry Keywords
HealthcareRegulated Software
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesNoSQLPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design and build intelligent software solutions leveraging Python-based services and modern AI capabilities
- Contribute directly to product features
- Support the integration of AI into existing platforms
- Deliver scalable, high-quality software addressing real customer needs
- Work as a hands-on contributor within a cross-functional engineering team
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
- 3–5 years of professional software development experience
- Strong proficiency in Python, including experience building backend services or applications
- Basic to intermediate experience with AI/ML concepts, such as model integration, prompt-based AI, or data-driven features
- Experience with LangChain, LangGraph, and Langfuse
- Experience with REST APIs and integrating third-party services
- Familiarity with Git-based version control and collaborative development workflows
- Familiarity with implementing CI/CD for applications and infrastructure with policy guardrails
- Experience working in an agile or iterative development environment
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Exposure to containerization using Docker and deployment using Kubernetes
- Experience working with SQL or NoSQL databases
- Experience with AI frameworks or tools such as TensorFlow, PyTorch, scikit-learn, or LLM-based APIs
- Experience in healthcare or other regulated software environments
