Founding Full-Stack Engineer for Enterprise Memory AI

Olis AI LLC; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Olis AI is building an ambient memory system for enterprise knowledge. We are seeking an ambitious founding engineer to architect and deploy systems with a focus on precision, security, and enterprise intelligence.

You will own the stack from APIs to dashboards and integrations, collaborating closely with AI, design, and operations teams. You will work in a fast-paced, ambiguity-tolerant environment, shaping architecture, engineering practices, and product maturity while ensuring privacy and

Qualifications

• Candidate proficient with enterprise databases (PostgreSQL) and vector databases.
• Experience building AI/LLM pipelines (RAG, embeddings, orchestration).
• Familiarity with creating extensions/integrations (Chrome/Edge extensions, Outlook/Slack apps).
• Strong emphasis on privacy & compliance in enterprise systems.

Responsibilities

• Develop a secure ingestion pipeline for enterprise docs, comms, and workflows.
• Help deploy permission-aware semantic memory store (vector DB + metadata schema).
• Architect human-in-the-loop validation interfaces for knowledge governance.
• Admin dashboards for compliance, analytics, and access control.
• Full ownership from backend APIs to front-end dashboards, extensions, and integrations.
• Collaborate with AI engineers, designers, and ops to refine the cognition pipeline.
• Define best practices, system architecture, and engineering values as an early engineer.

Skills

PostgreSQL

Vector DBs

AI/LLM pipelines

RAG

Embeddings

Extensions/Integrations

Tools

Chrome/Edge extensions

Outlook/Slack apps

OS integrations

Job description

Olis AI is building an ambient memory system for enterprise knowledge. We are seeking an ambitious founding engineer to architect and deploy systems with a focus on precision, security, and enterprise intelligence.

You will own the stack from APIs to dashboards and integrations, collaborating closely with AI, design, and operations teams. You will work in a fast-paced, ambiguity-tolerant environment, shaping architecture, engineering practices, and product maturity while ensuring privacy and