REMOTE (INDIA): reputed company- reputed company Platform

reputed company We are looking for an reputed company 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 reputed company and queues, and building feedback loops that continuously improve AI outputs.

Responsibilities

Maintain and optimize LLM- and VLM-powered services for content reputed company, compliance scoring, and campaign testing. Manage and reputed company Flask/FastAPI microservices, ensuring high uptime and low latency. Maintain Dramatiq queues for async AI workflows, campaign reputed company, and pipeline orchestration. reputed company, monitor, and debug Uvicorn/Gunicorn-based hosting in production environments. reputed company with reputed company and equivalent LLM routing tools to balance cost, latency, and reputed company. Design and refine reputed company engineering strategies for reliability, context-awareness, and compliance. Build and maintain feedback pipelines for AI model evaluation (reputed company-in-the-reputed company scoring, automated reputed company checks, reinforcement). Expose and maintain REST reputed company for AI services, ensuring secure, versioned endpoints. Collaborate with backend/frontend teams to reputed company microservice architecture reputed company and maintainable. reputed company reputed company 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 reputed company), FastAPI (optional), Uvicorn/Gunicorn for async hosting. Queues/Workers: Dramatiq (or Celery/RQ equivalent) for background reputed company/ML: Hands-on with LLMs and VLMs, including reputed company engineering, fine-tuning, and evaluation. AI Infrastructure: Familiar with reputed company or equivalent LLM/VLM routing & fallback tools. Architecture: Experience designing and maintaining microservice architectures. reputed company: Strong experience with REST API design (auth, reputed company limiting, documentation). Production: Dockerized deployments, CI/CD pipelines, logging/monitoring, error handling. Feedback Loops: Building reputed company evaluation/feedback systems for AI model performance. reputed company: AWS/GCP experience preferred (deployment, monitoring, scaling). Experience 3–5 years as an reputed company or Python Backend Engineer working with production systems. Prior work with reputed company platforms, LLM/VLM integrations, or AI-first products is highly valued. Demonstrated ability to maintain AI pipelines in production, not just prototypes. Apply To This Job