REMOTE (INDIA): AI Engineer- SaaS Platform

Marrina Decisions is seeking an AI Engineer to maintain and enhance the AI-driven backbone of the Sootra platform. The role involves ensuring production stability of LLM/VLM pipelines and optimizing model interactions while maintaining APIs and queues to improve AI outputs.

Responsibilities:

• 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:

• Minimum Experience: Mid-level
• 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