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Remote role, mid-level experience band, and metro location increase applicant density significantly.
Production ML/LLM engineering skills transfer across industries but require specialized LLM and automation experience.
Explicit 6+ years Python, mandatory LLM production experience, and multiple technical must-haves make filters strict.
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Design, build, and deploy production AI automation solutions integrating Python, REST APIs, data stores, and Large Language Models across global operations.
Own end-to-end delivery including writing tests, monitoring, hypercare, and handoff to operations teams with documentation.
Contribute to reusable automation components, sprint ceremonies, and evolve multi-step agentic workflows and tooling for human interfaces.
6+ years of Python production development experience with robust testing and maintenance.
Experience in REST API integration including authentication, rate limiting, pagination, and error handling.
Proficiency with relational and cloud data stores (e.g., PostgreSQL, Snowflake, S3/Blob) and SQL.
Direct experience integrating Large Language Models into production workflows, including prompt engineering and output validation.
Strong engineering ownership capable of translating process specs into stable, production-grade automations within agile sprint cycles.
Experienced in operationalizing AI/ML workflows with practical handling of hallucination and output quality.
Comfortable working in iterative, collaborative, sprint-based environments with code review and stakeholder communication.