AI Engineer – SaaS Platform

Job not on LinkedIn

🕒 August 17

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Marrina Decisions

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

📣 Marketing

B2B • Marketing

Marrina Decisions is a marketing services company that specializes in managed services for marketing campaigns, particularly those involving Marketo. They offer a wide range of services including Marketo optimization, migration, and quick launch, as well as email marketing services. The company acts as an extended team to offload marketing campaign execution work, allowing businesses to focus on their core activities. With expertise in marketing automation and operations, Marrina Decisions prides itself on delivering high-quality, efficient, and empathetic services that make a measurable impact on their clients' campaigns. Clients commend their ability to seamlessly integrate and manage multi-channel and multi-product customer journeys.

📋 Description

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