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Metro location, appealing AI/backend title, and broad skillset requirements drive high candidate competition.
Python backend and AI engineering skills are broadly transferable across industries, so low domain sensitivity.
Explicit 1-2 years requirement plus mandatory Python/backend fundamentals but many AI tool preferences implies medium strictness.
Develop and enhance backend services, APIs, and microservices using Python and FastAPI for AI-powered cloud-native applications.
Support implementation of AI workflows including RAG, semantic search, and vector search capabilities for the Discover platform.
Contribute to feature development, testing, deployment, and production support while collaborating with cross-functional teams and participating in CI/CD activities.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
1 to 2 years of professional software development experience.
Strong foundation in Python programming, REST APIs, and software engineering concepts.
Familiarity with cloud platforms, Git source control, and Agile development.
Early-career engineer with foundational Python backend development experience coupled with exposure to emerging AI technologies.
Able to work closely with senior engineers, architects, data scientists, and product managers in an enterprise-scale AI engineering environment.
Willingness and aptitude to learn modern AI engineering frameworks, cloud-native development, and microservice architectures.