Senior Backend Engineer for AI Memory Platform

ENGRAM Lab; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

ENGRAM Lab is seeking an experienced backend engineer to design and implement scalable systems for a memory platform. You will craft robust APIs handling millions of retrievals daily, optimize PostgreSQL performance, and implement caching and autoscaling.

You will collaborate with AI/ML teams to integrate memory retrieval algorithms and help set engineering best practices across the stack. This role expects 5+ years of backend experience and strong Python expertise.

Qualifications

• 5+ years of backend engineering experience.
• Strong proficiency in Python and 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.

Responsibilities

• 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.

Skills

Python

FastAPI

Django

Flask

API design

Distributed systems

CI/CD

Tools

PostgreSQL

Docker

Kubernetes

Redis

Memcached

Prometheus

Grafana

RabbitMQ

Apache Kafka

Job description

ENGRAM Lab is seeking an experienced backend engineer to design and implement scalable systems for a memory platform. You will craft robust APIs handling millions of retrievals daily, optimize PostgreSQL performance, and implement caching and autoscaling.

You will collaborate with AI/ML teams to integrate memory retrieval algorithms and help set engineering best practices across the stack. This role expects 5+ years of backend experience and strong Python expertise.