Role Overview We are looking for an AI Engineer to maintain and enhance the AI-driven backbone of the Sootra platform. This role involves ensuring production stability of LLM/VLM pipelines, optimizing model interactions, maintaining APIs and queues, and building feedback loops that continuously improve AI outputs.
Maintain and optimize LLM- and VLM-powered services for content generation, compliance scoring, and campaign testing. Manage and scale Flask/FastAPI microservices, ensuring high uptime and low latency. Maintain Dramatiq queues for async AI workflows, campaign generation, and pipeline orchestration.
Deploy, monitor, and debug Uvicorn/Gunicorn-based hosting in production environments. Integrate with OpenRouter and equivalent LLM routing tools to balance cost, latency, and quality. Design and refine prompt engineering strategies for reliability, context-awareness, and compliance.
Build and maintain feedback pipelines for AI model evaluation (human-in-the-loop scoring, automated quality checks, reinforcement). Expose and maintain REST APIs for AI services, ensuring secure, versioned endpoints. Collaborate with backend/frontend teams to keep microservice architecture aligned and maintainable.
Track token consumption, latency, and error rates to ensure production-grade performance. Required Skills Programming: Strong in Python, with experience in production-grade codebases. Frameworks: Flask (for APIs), FastAPI (optional), Uvicorn/Gunicorn for async hosti