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Engramme

Software Engineer (Back-end)

  • Seen live on Engramme's site yesterday
  • Senior
Pay
Not stated
Location
San Francisco
Open for
6+ days
First seen
Oct 29, 2026
Apply on Engramme's site (opens in a new tab)

Posting record

No flags

Open 6+ days

The posting's record, oldest first
  1. Engramme's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Engramme, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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)

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