Job Title: Software Engineer, Memory Consistency Company Name: Engram Job Url: https://www.simplyhired.com/job/_TV59v2nBPkmkI_q8OItDgbQ9iyQCAbVLab6qPkFRQ_rGZHExft7ig Job Description: Software Engineer, Memory Consistency — Open Source Contributor Engram Remote Job Details Part-time | Contract $18,000 - $68,000 a year 1 hour ago Qualifications Data storage Mid-level Machine learning Distributed systems Natural language processing System architecture design Open source contribution Python Full Job Description About Engram Every agent session starts from zero. Your agent re-discovers why that architectural decision was made. It re-learns which approaches already failed. It re-figures out which constraints are non-negotiable. Another engineer's agent did the exact same thing last week. That's the problem Engram solves. We're an early-stage startup building the consistency layer for multi-agent AI — a shared, persistent knowledge base that survives across sessions, syncs across teams, and catches it when two agents develop contradictory beliefs about the same system. Individual agent memory is solved. What happens when agents need to agree on what's true — that's still broken. That's what we're here to fix. We're open source, MCP-compatible, and install in a single command. Apache 2.0. The Role This is an early contributor role at a startup that's moving fast. The codebase is small by design — lean, focused, and built around one hard problem. Every contribution you make touches something that matters. You'll work directly on the infrastructure that makes shared agent memory consistent, not just shared — the detection systems that catch contradictions, the storage layer that keeps facts traceable across time, and the server architecture that keeps everything fast under real team load. If you care about how AI systems actually coordinate at runtime — not just what they can do in isolation — this is the right place to be. What We're Looking For Strong Python fundamentals and comfort working in systems-level codebases Some background in NLP, machine learning, or semantic similarity Familiarity with async patterns, local-first architectures, and concurrent systems A track record of clean, readable open-source contributions — good issues, clear PRs, honest commit messages No degree required. Show us what you've built. How to Apply We hire through contribution — your work is your application. Star, fork, and watch the repo at github.com/Agentscreator/Engram Submit something meaningful — a documented issue, bug fix, feature, or improved test coverage Reply with your GitHub username or a link to your contribution Pay: $18,000.00 - $68,000.00 per year Work Location: Remote