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Popular junior backend role, metro hiring, and generic title attract many qualified applicants.
Core Python backend skills are broadly transferable across industries despite retail and LLM context.
Explicit 1–3 years plus mandatory Python, FastAPI, testing, and Docker enforces moderate filtering.
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Develop and maintain Python-based MCP tools interfacing with Aptos domain APIs focusing on inventory, orders, customer, and store operations.
Contribute to feature development for Foundry's catalog, testing, deployment workflows, and Concierge agent capabilities under senior engineer guidance.
Write high-coverage, well-tested code using FastAPI; add tracing and metrics (OpenTelemetry, Prometheus); participate in code reviews and on-call rotations.
1 to 3 years professional software engineering experience or strong internship/project record with solid Python fundamentals.
Experience building and testing web APIs using FastAPI, Flask, or Django plus relational or analytical database experience.
Familiarity with Docker, Git-based CI workflows; willingness to learn Kubernetes, Helm, and AWS.
Genuine interest or exposure to Large Language Model (LLM) applications, including prompting, agents, or model APIs.
Early-career software engineer with Python backend development experience, comfortable working in microservices/cloud-native environments.
Demonstrates strong testing discipline and adapts well to code reviews and collaborative development.
Interested in applied AI/LLM technologies and eager to grow skills in Kubernetes, AWS, and distributed systems tools.