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Remote mid-level software engineer role with generic title and metro context increases applicant competition.
ML/AI engineering skills are transferable across industries but require domain-relevant model and LLM experience.
Multiple mandatory technical skills including ML/LLM, Node/React, databases, CI/CD, and containers increase screening rigor.
Develop, implement, and support scalable AI/ML-backed software solutions within an Agile squad environment.
Translate business problems into AI/ML and software solutions including LLM-based features like summarization, classification, and automation.
Build and maintain APIs/microservices with reliability, observability, and execute continuous code improvements.
Proven experience delivering software solutions using AI/ML technologies and cloud-native architectures.
Proficiency in JavaScript/TypeScript and experience with frameworks such as Angular, NodeJS, Express.JS, and React.
Experience with container technologies (Docker, Kubernetes), ORM frameworks, and databases like MSSQL and MongoDB.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in Agile at Scale, Lean, and Continuous Delivery including CI/CD, Test-Driven Development, and Infrastructure as Code.
Strong ability to evaluate AI/ML model outputs for accuracy, safety, and consistency with automated and human-in-the-loop review.
Technically diverse with skills in MEAN or MERN stack, testing, and software delivery processes using tools like JIRA, Github and Confluence.