Marrina Decisions
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.
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.
Required Skills
- Programming: Strong in Python, with experience in production-grade codebases.
- Frameworks: Flask (for APIs), FastAPI (optional), Uvicorn/Gunicorn for async hosting.
- Queues/Workers: Dramatiq (or Celery/RQ equivalent) for background jobs.
- AI/ML: Hands-on with LLMs and VLMs, including prompt engineering, fine-tuning, and evaluation.
- AI Infrastructure: Familiar with OpenRouter or equivalent LLM/VLM routing & fallback tools.
- Architecture: Experience designing and maintaining microservice architectures.
- APIs: Strong experience with REST API design (auth, rate limiting, documentation).
- Production: Dockerized deployments, CI/CD pipelines, logging/monitoring, error handling.
- Feedback Loops: Building structured evaluation/feedback systems for AI model performance.
- Cloud: AWS/GCP experience preferred (deployment, monitoring, scaling).
Experience
- 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.
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
Working in India
India, officially the Republic of India, is a country in South Asia. It is the seventh-largest country by area, the most populous country in the world and, since its independence in 1947, the world's most populous democracy. Bounded by the Indian Ocean on the south, the Arabian Sea on the southwest, and the Bay of Bengal on the southeast, it shares land borders with Pakistan to the west; China, Nepal and Bhutan to the north; Bangladesh and Myanmar to the east. In the Indian Ocean, India is near Sri Lanka and the Maldives. Its Andaman and Nicobar Islands share a maritime border with Myanmar, Th
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