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redis python django kafka fastapi📋 Description
- Design and build backend systems that scale our AI solutions for 167K+ customers.
- Develop data collection and processing pipelines for ML models to train and consume.
- Create services to serve AI models in production.
- Contribute to evolving agentic architecture—making AI agents more self-sufficient and performant.
- Foster a culture of ownership, experimentation, and customer-centric product thinking.
🎯 Requirements
- Deploy generative and agentic AI apps to production (prompting, tuning).
- 3+ years backend experience building scalable distributed AI systems.
- Proficient in Python and frameworks (FastAPI, Django).
- Knowledge of Apache Spark and Hadoop.
- Experience with async processing and queues (Celery, Kafka, SQS, RabbitMQ, Redis).
- Knowledge of databases and ORMs (SQLAlchemy, Alembic).
- Knowledge of robust APIs.
- Autonomous, startup-style, and able to collaborate with PMs.
🎁 Benefits
- Health, welfare, and wellbeing benefits.
- Generous benefits supporting work-life balance.
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