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Metro role with broad backend+AI requirements and mid-tier brand yields moderate competition.
Backend plus AI-integration skills are transferable, but domain-specific AI/product experience increases fit sensitivity.
Mandatory 7+ years and specific backend, cloud, and AI tech requirements enforce strict shortlisting.
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Design, build, and maintain backend services and REST APIs powering Galaxy’s AI products, integrating LLM and RAG-based features into production applications.
Collaborate with AI Platform and product teams to implement end-to-end AI-powered features using Galaxy's AI Suite (AWS Bedrock, AgentCore, SageMaker).
Diagnose and resolve production issues ensuring reliability, latency, and data quality with operational responsibility for backend service deployment and maintenance.
7+ years programming and engineering experience with strong skills in Python, REST API development, CI/CD pipelines, and distributed systems fundamentals.
Experience with relational database design (e.g. PostgreSQL), Kubernetes, Terraform, Docker, and AWS or equivalent cloud platform.
Working familiarity with Generative AI concepts (RAG, embeddings, prompt engineering) and integration of LLM/AI platform APIs (e.g. AWS Bedrock).
Work Experience Required: 7+ years.
Experienced in delivering AI-powered backend services at production scale, balancing speed, maintainability, and operational health.
Competent in translating product requirements into reliable AI-driven application features with a backend engineering focus and cloud-native infrastructure expertise.
Prior experience or domain understanding in financial services, digital assets, or AI infrastructure is a plus but not mandatory.