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Ant-Tech

Senior AI Systems Engineer (Rails + LLMs)

Ant-Tech, New York, New York, us, 10261

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Location:

Remote (United States)

Experience level:

Mid-senior

Experience required:

7+ years

Education level:

Bachelor’s 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 acquisition —ideal for a true hunter with a passion for driving growth.

Tasks 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.

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

Intro Call (30 min)

Technical Deep Dive (60–90 min)

Practical Case Study

Final Round with Founders

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.

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