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Remote mid-level AI Engineer role with common 3–5 years range attracts many qualified applicants.
Specialized LLM/VLM, prompt engineering, and production ML infra require ML-specific experience, limiting cross-industry transferability.
Explicit 3–5 years plus mandatory LLM/VLM, production infra, and tooling requirements make filters strict.
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Maintain and optimize LLM/VLM-powered AI services for content generation, compliance scoring, and campaign testing on the Sootra SaaS platform.
Manage and scale Flask/FastAPI microservices and Dramatiq queues ensuring high uptime, low latency, and effective async AI workflows.
Design and maintain AI feedback loops, REST APIs, and deployment pipelines to ensure stable, secure, and continuously improving AI model performance.
3–5 years of experience as an AI Engineer or Python Backend Engineer with production system exposure.
Strong proficiency in Python programming and production-grade codebase management.
Experience with Flask (mandatory), Dramatiq (or equivalent) for background job handling, and microservice API design.
Familiarity with production deployment tools like Uvicorn/Gunicorn, Docker, and preferably AWS or GCP cloud platforms.
Has direct experience maintaining and scaling AI-driven SaaS platforms and production LLM/VLM integrations.
Skilled in designing robust microservice architectures coupled with prompt engineering for reliable AI outputs.
Experienced in building and managing structured AI feedback loops involving both automated and human-in-the-loop evaluation mechanisms.