Home › Companies › Marrinadecisions › REMOTE (INDIA): AI Engineer- SaaS Platform
REMOTE (INDIA): AI Engineer- SaaS Platform
Marrinadecisions · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Marrinadecisions |
| Title | REMOTE (INDIA): AI Engineer- SaaS Platform |
| Normalized title | - |
| Department / team | MARKETING |
| Location | India, India, India |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-20 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Marrinadecisions. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in India. | Open |
| Department jobs | Active postings in MARKETING. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Marrinadecisions |
| Source | 3fbe13af-d751-4fa4-8fea-6c3784453f1a |
| ATS provider | BambooHR |
Description
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.
Full job record
| Job ID | 5b2ae9cbd9ab72b36815110d96ea505427233d51 |
| Org ID | 6a9391e9-8b2e-4e92-84ea-31b50b2148ab |
| Source ID | 3fbe13af-d751-4fa4-8fea-6c3784453f1a |
| Board ID | 3fbe13af-d751-4fa4-8fea-6c3784453f1a |
| Provider | bamboohr |
| Provider Job Key | 694 |
| Title | REMOTE (INDIA): AI Engineer- SaaS Platform |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | MARKETING |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | India |
| Region | India |
| City | India |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://marrinadecisions.bamboohr.com/careers/694 |
| Apply URL | https://marrinadecisions.bamboohr.com/careers/694 |
| First Seen At | 2026-05-30 05:47:23Z |
| Last Seen At | 2026-06-06 10:26:48Z |
| Last Checked At | 2026-06-06 10:26:48Z |
| Last Changed At | 2026-05-30 05:47:23Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=marrinadecisions/date=2026-06-06/2026-06-06T10-26-46-332Z-4cb3c8456a6ec7a2531892b6de9cf68e7d216e10c926e58141bf33626bdd85c9.json |
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"description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Role Overview</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 18pt; font-weight: bold\">Responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintain and optimize LLM- and VLM-powered services for content generation, compliance scoring, and campaign testing.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Manage and scale Flask/FastAPI microservices, ensuring high uptime and low latency.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintain Dramatiq queues for async AI workflows, campaign generation, and pipeline orchestration.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Deploy, monitor, and debug Uvicorn/Gunicorn-based hosting in production environments.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Integrate with OpenRouter and equivalent LLM routing tools to balance cost, latency, and quality.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design and refine prompt engineering strategies for reliability, context-awareness, and compliance.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build and maintain feedback pipelines for AI model evaluation (human-in-the-loop scoring, automated quality checks, reinforcement).</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Expose and maintain REST APIs for AI services, ensuring secure, versioned endpoints.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with backend/frontend teams to keep microservice architecture aligned and maintainable.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Track token consumption, latency, and error rates to ensure production-grade performance.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n</ul>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 18pt; font-weight: bold\">Required Skills</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Programming: Strong in Python, with experience in production-grade codebases.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Frameworks: Flask (for APIs), FastAPI (optional), Uvicorn/Gunicorn for async hosting.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Queues/Workers: Dramatiq (or Celery/RQ equivalent) for background jobs.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">AI/ML: Hands-on with LLMs and VLMs, including prompt engineering, fine-tuning, and evaluation.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">AI Infrastructure: Familiar with OpenRouter or equivalent LLM/VLM routing & fallback tools.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Architecture: Experience designing and maintaining microservice architectures.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">APIs: Strong experience with REST API design (auth, rate limiting, documentation).</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Production: Dockerized deployments, CI/CD pipelines, logging/monitoring, error handling.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Feedback Loops: Building structured evaluation/feedback systems for AI model performance.</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><br><br></span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Cloud: AWS/GCP experience preferred (deployment, monitoring, scaling).</span><span style=\"font-family: Arial, sans-serif; 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