Backend Engineer, Memory AI Platform (SF)

ENGRAM Lab; San Francisco (CA); In loco; USD 145.000 - 190.000; Part-time

Descrizione del lavoro

Engramme, a Frontier AI lab spun out of Harvard, is seeking engineers to build the memory-platform backbone in an in-person SF setting. You will architect scalable backends, craft robust APIs, and optimize data storage and caching to support millions of memory retrievals daily.

Join a team with deep research roots and a focus on memory models, collaborating with AI/ML squads to integrate retrieval algorithms and ensure high performance with automated scaling.

Competenze

• Proficient in Python with modern web frameworks (FastAPI, Django, Flask).
• Experience designing scalable backend architectures and APIs.
• Strong PostgreSQL optimization and data modeling skills.
• Hands-on with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).
• Knowledge of caching (Redis, Memcached) and distributed systems.
• Familiar with API design and microservices style architectures.
• Solid problem-solving skills and attention to detail.
• Experience with CI/CD pipelines and infrastructure as code.

Mansioni

• Design and implement scalable backend architecture for our memory platform.
• Build robust APIs handling millions of memory retrievals daily.
• Optimize database performance and implement caching strategies.
• Collaborate on technical architecture decisions with the team.
• 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.

Conoscenze

Python

API design

Microservices architecture

PostgreSQL

Redis

CI/CD pipelines

Problem solving

Strumenti

Docker

Kubernetes

AWS

GCP

Memcached

Prometheus

Grafana

RabbitMQ

Apache Kafka

Descrizione del lavoro

Engramme, a Frontier AI lab spun out of Harvard, is seeking engineers to build the memory-platform backbone in an in-person SF setting. You will architect scalable backends, craft robust APIs, and optimize data storage and caching to support millions of memory retrievals daily.

Join a team with deep research roots and a focus on memory models, collaborating with AI/ML squads to integrate retrieval algorithms and ensure high performance with automated scaling.