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Marrina Decisions Logo Marrina Decisions · IT - Software Development

Ai Engineer- Saas Platform

India, India · Job Posted May 28, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • Strong in Python, with experience in production-grade codebases
  • Flask (for APIs), FastAPI (optional), Uvicorn/Gunicorn for async hosting
  • Dramatiq (or Celery/RQ equivalent) for background jobs
  • Hands-on with LLMs and VLMs, including prompt engineering, fine-tuning, and evaluation
  • Familiar with OpenRouter or equivalent LLM/VLM routing & fallback tools
  • Experience designing and maintaining microservice architectures
  • Strong experience with REST API design (auth, rate limiting, documentation)
  • Dockerized deployments, CI/CD pipelines, logging/monitoring, error handling
  • Building structured evaluation/feedback systems for AI model performance
  • AWS/GCP experience preferred (deployment, monitoring, scaling)
  • 3–5 years as an AI Engineer or Python Backend Engineer working with production systems
  • Prior work with SaaS platforms, LLM/VLM integrations, or AI-first products is highly valued
  • Demonstrated ability to maintain AI pipelines in production, not just prototypes
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