Full-Stack Software Engineer

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

At Olis, we're building the next foundational layer of enterprise infrastructure, the ambient memory system. Our mission is to transform how Fortune 100-500 companies operate by making organizational knowledge behave like cognition, embedding real-time knowledge into the tools employees already use; Slack, Outlook, Notion, SharePoint, and more. We'\u0027re making enterprise memory behave like a living system supportive exactly when it's needed.

It\'s not about automating tasks anymore, it\'s about restoring intelligence to enterprise workflows. It\'s about replacing fragmented documents and repeated questions with supported clarity that meets users where they are.

Overview

We\'re hiring exceptional engineers to help us bring Olis to life! This is your chance to architect and deploy systems as a founding engineer that are rooted in precision, security, and deep enterprise intelligence. Someone highly collaborative, and designed for engineers who want to leave behind commodity AI and work on something enduring.

Responsiblities

• Develop a secure ingestion pipeline for enterprise docs, comms, and workflows
• Help deploy permission-aware semantic memory store (vector DB + metadata schema)
• Architect the 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.
• Work hand-in-hand with AI engineers, designers, and ops to refine the cognition pipeline.
• As an early engineer, define best practices, system architecture, and engineering values.

Requirements

• You\'re fluent with databases (Postgres, vector DBs like Pinecone, Weaviate, or Milvus).
• You\'ve worked with AI/LLM pipelines (RAG, embeddings, orchestration frameworks).
• You understand extensions/overlays (Chrome/Edge extensions, Outlook/Slack apps, OS integrations).
• You care deeply about privacy & compliance in enterprise systems.
• You thrive in ambiguity, move fast, and can balance speed with security.

Strong Candidates May Also

• Have experience deploying extensible SaaS products into enterprise clients
• Have ownership, drive, and ambition!
• Is a great communicator.
• Is willing to learn and grow with the role.
• Is a strong team-player; cooperative and respectful.