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Job Description

Engramme is seeking a back-end Software Engineer to build scalable architecture, high-throughput APIs, and AI/ML memory retrieval integrations for a memory platform.

Responsibilities

  • Design and implement scalable back-end architecture for the memory platform
  • Develop robust APIs capable of supporting millions of memory retrievals per day
  • Optimize database performance and implement caching strategies
  • Partner with the engineering team on technical architecture decisions
  • Define and apply engineering best practices and code quality standards
  • Collaborate with AI/ML teams to integrate memory retrieval algorithms
  • Monitor system performance and implement automated scaling solutions

Requirements

  • 5+ years of back-end engineering experience
  • Strong proficiency in Python and modern web frameworks, including FastAPI, Django, and Flask
  • Experience with PostgreSQL and database optimization
  • Knowledge of cloud platforms including AWS and GCP, plus containerization with Docker and Kubernetes
  • Understanding of caching systems such as Redis and Memcached, and experience with distributed architectures
  • Experience with API design and microservices architecture
  • Strong problem-solving skills with attention to detail
  • Experience with CI/CD pipelines and infrastructure as code

Technologies

  • Python
  • FastAPI
  • Django
  • Flask
  • PostgreSQL
  • AWS
  • GCP
  • Docker
  • Kubernetes
  • Redis
  • Memcached

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 such as Prometheus and Grafana
  • Knowledge of message queues, including RabbitMQ and Apache Kafka

Location: San Francisco, CA (onsite)

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