Applied AI / ML Engineer
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
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.
Apply tot his job
Apply To this Job
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
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.
Apply tot his job
Apply To this Job