Senior AI Systems Engineer (Rails + LLMs)

Location: Remote (United States)
Experience level: Mid-senior
Experience required: 7 years
Education level: Bachelors degree
Job function: Sales
Industry: Staffing and Recruiting
Relocation assistance: No
Total positions: 1

We are seeking a dynamic and seasoned Sales Executive with 7 years of staffing industry experience to join our fully remote national sales team. If you are looking for a niche in the staffing industry that brings innovation to how staffing services are delivered this is a great opportunity to explore.

You will be responsible for prospecting and closing new business opportunities building strong client relationships and expanding market share across the U.S.. The role is focused on new client acquisitionideal for a true hunter with a passion for driving growth.

Tasks

Were looking for an experienced AI Systems Engineer to design build and scale advanced AI-powered systems. Youll 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 agentsyoull have ownership from day one.

What Youll 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.

Requirements

• 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.

Benefits

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 (6090 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.