AI Engineer – SaaS Platform

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee and enhance services powered by LLM and VLM for content creation, compliance assessment, and campaign testing.

• Administer and expand Flask/FastAPI microservices to ensure high availability and minimal latency.

• Manage Dramatiq queues to facilitate asynchronous AI workflows, campaign creation, and pipeline orchestration.

• Deploy, monitor, and troubleshoot Uvicorn/Gunicorn-based hosting in live production settings.

• Integrate with OpenRouter and similar LLM routing tools to optimize cost, speed, and quality.

• Develop and improve prompt engineering methods to ensure reliability, contextual awareness, and compliance.

• Create and sustain feedback channels for AI model assessment, including human-in-the-loop evaluation, automated quality checks, and reinforcement.

• Provide and uphold secure, versioned REST APIs for AI services.

• Collaborate with backend and frontend teams to ensure the microservice architecture is cohesive and maintainable.

• Monitor token usage, latency, and error rates to guarantee performance meets production standards.

⛳️ Requirements

• Extensive experience in Python programming within production-grade codebases.

• Proficiency with Flask; FastAPI experience is a plus.

• Familiarity with Uvicorn/Gunicorn for asynchronous hosting.

• Experience with Dramatiq, Celery, or RQ for handling background jobs.

• Practical knowledge of LLMs and VLMs, including prompt engineering, fine-tuning, and evaluation processes.

• Understanding of OpenRouter or similar LLM/VLM routing and fallback tools.

• Proven experience in designing and managing microservice architectures.

• Strong skills in REST API design, including aspects like authentication, rate limiting, and documentation.

• Knowledge of Docker deployments, CI/CD pipelines, as well as logging/monitoring and error management.

• Experience in creating structured evaluation and feedback systems for AI model performance.

• AWS/GCP experience is preferred.

• 3 to 5 years of experience as an AI Engineer or Python Backend Engineer in production environments.

• Previous involvement with SaaS platforms, LLM/VLM integrations, or AI-centric products is highly valued.

• Proven capability to maintain AI pipelines in production settings, beyond just prototype development.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and career advancement.

• Collaborative and innovative work environment.