Back-End Software Engineer (Co-op / extended internship)

Engramme; San Francisco (CA); In loco; USD 167.000 - 234.000; Tempo pieno

Descrizione del lavoro

Engramme, a Frontier AI lab focusing on AI x Human Memory, is seeking a backend engineer for a 6-month in-person role in San Francisco. You will help build the memory retrieval backbone powering our Memory-as-a-Service platform.

You’ll design scalable backend systems, implement robust APIs, optimize databases, and collaborate with AI/ML teams on memory retrieval algorithms. This in-person position requires strong Python and cloud tech.

Competenze

• Strong Python backend experience with modern web frameworks.
• Experience designing scalable APIs and microservices.
• Proficiency with PostgreSQL and database optimization.
• Familiarity with cloud platforms (AWS) and containerization (Docker/Kubernetes).
• Knowledge of caching systems (Redis/Memcached) and observability tools.

Mansioni

• Design and implement scalable backend architecture for memory platform.
• Build robust APIs that handle millions of memory retrievals per day.
• Optimize database performance and implement caching strategies.
• Collaborate with engineering on 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.

Conoscenze

Python

FastAPI

Django

Flask

PostgreSQL

AWS

Docker

Kubernetes

Redis

API design

Strumenti

Docker

Kubernetes

Redis

Memcached

Prometheus

Descrizione del lavoro

This is a 6-month, in-person opportunity in San Francisco.

About Engramme

Engramme is a Frontier AI lab spun out of Harvard focusing on AI x Human Memory. Persistent memory is a fundamental open problem at the heart of AI. Our vision is to build models of human memory, and to endow humans with perfect and infinite memory.

Before starting Engramme, the founding team has produced and commercialized extensive research in machine learning and neuro-science inspired memory models:

• Gabriel Kreiman (CEO & Co-founder): Professor of Neuroscience and AI, Harvard Medical School. Led key research on brain memory consolidation at Harvard University.
• Spandan Madan (CTO & Co-founder): PhD in Computer Science from Harvard, designed AI models which were commercially deployed at Adobe, Fujitsu, and Meta.

What You’ll Do

Join our engineering team to build the backbone of our Memory-as-a-Service platform. You’ll architect scalable systems that power contextual memory retrieval for millions of users.

• 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

• 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)