Related skills
aws python django kubernetes kafka📋 Description
- Design and build backend systems to scale AI for 167K+ customers
- Develop robust data pipelines for ML model training and inference
- Develop scalable services to serve AI models in production
- Improve agentic architecture for more autonomous AI agents
- Foster ownership, experimentation, and customer-centric thinking
🎯 Requirements
- 5+ years building and deploying generative AI apps in production (prompting, fine-tuning)
- Backend engineer with scalable, distributed systems for AI agents
- Proficient in Python and FastAPI or Django
- Async processing and distributed queues (Celery, Kafka, SQS, RabbitMQ, Redis)
- Strong DB skills and ORMs (SQLAlchemy, Alembic)
- Cloud-native architectures (AWS) and Kubernetes; infra/CI/CD
🎁 Benefits
- Base pay range for US locations: $152,000–$228,000 USD
- Annual cash bonus and variable pay
- Equity and sign-on payments
- Comprehensive health, welfare, and wellbeing benefits
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