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Metro location, generalist backend role and broad skillset create high candidate competition.
Backend skills transferable, but AI integration and financial domain preferences increase specialization.
Multiple mandatory technical skills and senior title create strict screening.
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Design, build, and operate backend services and REST APIs powering Galaxy's AI products integrating with internal AI Suite.
Implement end-to-end features involving data models, APIs, production deployment, and AI integration with LLM, RAG, and prompt engineering.
Collaborate across teams to maintain operational reliability, code quality, and contribute occasionally to AI platform components.
Proficient in Python programming, REST API development, CI/CD pipelines, automated testing, and relational database design.
Experience with Kubernetes, Terraform, Docker, and familiarity with AWS cloud services and AI platform APIs (e.g. AWS Bedrock, SageMaker).
Working understanding of generative AI concepts including prompt engineering, embeddings, RAG, and function calling.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend engineer with practical exposure to integrating AI/LLM capabilities within production applications.
Comfortable reasoning about AI output and prompt behavior from a product/application perspective rather than deep model training.
Preferably has domain knowledge of financial services, digital assets, or AI infrastructure and familiarity with security practices like AuthN/AuthZ in production.