The AI Engineer will maintain and enhance AI services on the Sootra platform, optimizing pipelines, managing microservices, and developing feedback systems to improve AI performance.
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.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The QMS Manager will oversee quality management system development, execution, and maintenance for process improvement toward zero defects while also mentoring the team and liaising with customers and internal departments.
Top Skills:
Aiag 5 Core ToolsControl PlansFmeaPpapQms StandardsSpc
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Provide day-to-day support and administration for INFOR Time & Attendance, assist with configuration, testing, data migration, and training. Serve as first-line support for users, manage integrations to payroll/HRIS, run reports, and support project coordination and vendor governance to ensure timely system rollouts and compliance.
Top Skills:
Hcm IntegrationHrisInfor HcmInfor Time & AttendanceExcelMs WordMvs (Master Rotation And Auto Assignment)PayrollReporting ToolsWorkday
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Own and roadmap fleet management product experiences for dispatchers, operators, and drivers. Translate customer pain into web and mobile workflows, define metrics, run betas, work with data scientists to build AI features from sensor data, and collaborate cross-functionally while gathering field feedback.
Top Skills:
AIAutomotive SystemsIndustrial IotSQLTelematics
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
