Senior AI Systems Engineer (Rails + LLMs)

We’re looking for an experienced AI Systems Engineer to design, build, and scale advanced AI-powered systems. You’ll combine your Rails expertise with deep knowledge of LLMs and ML infrastructure to deliver enterprise-grade solutions. From agentic workflows and multi-agent orchestration to RAG pipelines and voice-based learning agents—you’ll have ownership from day one.

What You’ll Do

• Design and implement LLM-powered agentic workflows for real-world tasks.
• Build organization-specific customization layers and AI safety systems.
• Develop voice- and message-based AI learning agents.
• Architect and maintain RAG, vector search, and evaluation pipelines.
• Collaborate with founders, engineers, and clients to shape product direction.

• 5+ years ML experience (PyTorch, TensorFlow).
• 2+ years with LLMs (Hugging Face, OpenAI, Anthropic).
• Expert Rails engineer (REST APIs, PostgreSQL, ActiveRecord, RSpec).
• Proven track record building and deploying production AI systems.
• Familiarity with LangChain / LlamaIndex (or ability to ramp quickly).
• Strong communicator and collaborator, thrives in fast-moving environments.

401k Retirement Plan

Health, Vision, Dental Insurance

Founding-level ownership & growth opportunities

Ideal Candidate
An innovative builder, strong team collaborator, and technically excellent engineer who thrives in ambiguity, learns frameworks fast, and wants to shape the future of AI in enterprise learning.

Interview Process

1. Intro Call (30 min)
2. Technical Deep Dive (60–90 min)
3. Practical Case Study
4. Final Round with Founders

Ideal CandidateAn innovative builder, strong team collaborator, and technically excellent engineer who thrives in ambiguity, learns frameworks fast, and wants to shape the future of AI in enterprise learning.