What You'll Do

• Design and implement scalable backend architecture for our memory platform

• Build robust APIs that handle millions of memory retrievals per day

• Optimize database performance and implement caching strategies

• Collaborate with the engineering team on technical architecture decisions

• Establish engineering best practices and code quality standards

• Work with AI/ML teams to integrate memory retrieval algorithms

• Monitor system performance and implement automated scaling solutions

What We're Looking For

• 5+ years of backend engineering experience

• Strong proficiency in Python and modern web frameworks (FastAPI, Django, Flask)

• Experience with PostgreSQL and database optimization

• Knowledge of cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes)

• Understanding of caching systems (Redis, Memcached) and distributed architectures

• Experience with API design and microservices architecture

• Strong problem-solving skills and attention to detail

• Experience with CI/CD pipelines and infrastructure as code

Nice to Have

• Experience with AI/ML infrastructure and vector databases

• Knowledge of similarity search and embedding systems

• Background in high-performance computing or real-time systems

• Previous startup or early-stage company experience

• Open source contributions

• Experience with monitoring tools (Prometheus, Grafana)

• Knowledge of message queues (RabbitMQ, Apache Kafka)