AI Solutions Engineer (Python, DevOps, Cloud, LLM) - REMOTE

Platform Installation & Engineering Install, validate, and operate platform components using modern DevOps practices (Kubernetes, Helm, Git-based deployments). Validate network connectivity, security configurations, logging, and monitoring. Manage versioned deployments, upgrades, and rollback procedures using Git-driven release workflows. Test end-to-end platform functionality using representative repositories and workloads. Operate and maintain monitoring, logging, and alerting to ensure platform health post-deployment. Guide teams on repository hygiene, modularization, access controls, and branching strategies. Troubleshoot ingestion, analysis, and runtime issues across code, infrastructure, and integrations. Provide architectural guidance and clearly communicate trade-offs when preparing systems for AI-driven workflows. Work directly with customer engineers to drive adoption and unblock progress. Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. 2+ years of experience in a technical implementation or solutions engineering role, preferably with a SaaS product. 2+ years of experience with Azure, OpenAI, and other cloud and LLM providers 7+ years strong in software development lifecycle (SDLC) practices and common source control workflows (e.g. Git branching strategies, pull requests, release versioning). 2+ years Machine Learning and Deep Learning Expertise 5+ years of strong understanding of software integration principles and APIs. 5+ years Programming proficiency in Python, R, and Java Ability to travel to client sites as needed Ability to provide architectural guidance and communicate trade-offs when preparing code for analysis workflows. Comfortable reading code at a structural level, with proficiency in at least one code language. Excellent problem-solving and analytical skills. Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences. Proven ability to manage multiple projects simultaneously and prioritize effectively.

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