Applied AI/ML Engineer

elios talent • New York City Metropolitan Area
Remote
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AI Summary

Design, build, and deploy AI-driven systems to optimize conversion, personalization, and operational efficiency. Collaborate with product and engineering teams to integrate machine learning into live production systems. Fluency in modern AI tools and strong backend engineering experience required.

Key Highlights
Design, build, and deploy AI-driven systems
Collaborate with product and engineering teams
Fluency in modern AI tools and strong backend engineering experience
Key Responsibilities
Design, build, and deploy AI-driven systems that optimize conversion, personalization, and operational efficiency
Work closely with product and engineering teams to integrate machine learning into live production systems
Create production-grade ML systems integrated into live product environments
Develop AI-driven personalization, recommendation, and optimization engines
Build LLM-powered automation workflows and AI agents
Design data pipelines and model evaluation frameworks
Implement experimentation systems to measure model performance and business impact
Technical Skills Required
TypeScript Node.js React Next.js AWS Python LLMs Prompt engineering Fine-tuning RAG Embeddings Vector databases
Benefits & Perks
Base salary $200,000 - $250,000
20% Performance Bonus
Equity participation
Fully Remote
Nice to Have
Experience building AI agents
Experience optimizing conversion funnels through ML
Startup or high-growth company background

Job Description


🤖 Applied AI / ML Engineer


📍 Remote

💰 $200,000 – $250,000 Base + 20% Bonus + Equity


🚀 About the Opportunity

We’re partnering with a high-growth, product-driven technology organization operating in a sector closely aligned with ecommerce and digital marketplace platforms. This team is embedding AI directly into core product experiences — not as a side experiment, but as a revenue-driving engine.


They are hiring an Applied AI / ML Engineer who thrives at the intersection of product, engineering, and machine learning — someone who can take models from concept to production and directly influence business outcomes.


This is a build-and-ship role.


🎯 The Role

As an Applied AI / ML Engineer, you will design, build, and deploy AI-driven systems that optimize conversion, personalization, automation, and operational efficiency.


You will work closely with product and engineering teams across modern web architecture (TypeScript, React, Node, AWS, Next.js) to integrate machine learning into live production systems.


We are looking for someone fluent in today’s AI ecosystem — LLMs, agents, fine-tuning, embeddings, evaluation frameworks — and capable of translating AI capabilities into scalable product features.


🛠️ What You’ll Build

• Production-grade ML systems integrated into live product environments

• AI-driven personalization, recommendation, and optimization engines

• LLM-powered automation workflows and AI agents

• Data pipelines and model evaluation frameworks

• Experimentation systems to measure model performance and business impact

• Scalable infrastructure within AWS environments


🧠 What We’re Looking For

Core Requirements

• 5+ years in ML Engineering, Applied AI, or related roles

• Strong production experience deploying models, not just training them

• Experience working in ecommerce or adjacent digital commerce sectors

• Fluency in modern AI tools (LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases)

• Strong backend engineering experience (Node.js, TypeScript preferred)

• Experience deploying systems in AWS environments

• Comfort collaborating with front-end teams working in React / Next.js

Technical Stack Exposure

• TypeScript

• Node.js

• React / Next.js

• AWS

• Python (for modeling and experimentation)

• Modern AI tooling and evaluation frameworks

Bonus

• Experience building AI agents

• Experience optimizing conversion funnels through ML

• Startup or high-growth company background


đź’° Compensation & Benefits

• $200,000 – $250,000 Base

• 20% Performance Bonus

• Equity participation

• Fully Remote

• High ownership and direct product impact


🌟 Why Join

You’ll be joining a team where AI is core to product strategy — not a lab experiment. This is an opportunity to architect and deploy systems that directly influence revenue, growth, and operational scale.


If you’re excited by shipping real AI into production and measuring its business impact — this is the kind of role built for you.


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