Job Description

Position: Backend Engineer

Date Posted: April 18, 2026

Industry: Artificial Intelligence / E-commerce / Software Engineering

Employment Type: Full Time

Experience: Not Specified (Experienced Engineers Preferred)

Qualification: Not Specified (Computer Science Background Preferred)

Salary: USD $120K – $200K

Location: New York, NY, USA

Company: Channel3

Description:
Channel3 is an AI-driven technology company building a comprehensive global database of every product on the internet. The company is focused on powering the future of “agentic commerce,” where AI systems can intelligently understand, match, and transact products across digital ecosystems. With rapid advancements in artificial intelligence, Channel3 aims to become a foundational infrastructure layer for AI-powered commerce.

The Backend Engineer will play a key role in building and scaling systems that process, structure, and understand massive volumes of product data. This includes working with large-scale AI models, multimodal systems, and distributed infrastructure to enable fast, accurate, and intelligent product discovery.

This is a highly technical, fast-paced role suited for engineers who enjoy solving complex data, search, and systems challenges at scale while contributing to a rapidly growing AI startup.

Key Responsibilities:

• Develop systems to analyze and structure data from over a billion products across the internet
• Work with language models, embeddings, image recognition, and segmentation models to understand product data
• Build systems for product deduplication, classification, and variant detection (e.g., size, color, configurations)
• Design and improve computer vision pipelines to interpret product detail pages (PDPs) without manual intervention
• Build and optimize high-performance search systems capable of handling complex queries in real time
• Enhance ranking and relevance systems beyond basic keyword matching using structured and semantic data
• Improve system reliability, reduce cost, and optimize token usage across AI pipelines
• Design evaluation frameworks to monitor model drift and ensure consistent system performance
• Work with large-scale cloud infrastructure across platforms such as GCP and Azure
• Contribute to the design of scalable databases and product graph infrastructure
• Collaborate with a highly technical engineering team to ship features quickly and efficiently

Required Qualifications:

• Strong background in software engineering (experience level not strictly defined, but senior-level thinking preferred)
• Proficiency in backend development and system design
• Experience working with large-scale data systems or distributed architectures
• Familiarity with AI/ML concepts such as embeddings, language models, or computer vision (preferred)
• Strong problem-solving skills and ability to work with complex technical challenges
• Ability to work independently in a fast-moving startup environment
• Strong communication skills and collaborative mindset

Preferred Qualifications:

• Experience with AI infrastructure, search systems, or recommendation engines
• Familiarity with multimodal AI systems (text + image processing)
• Experience working with cloud platforms such as GCP or Azure
• Knowledge of cost optimization and large-scale system efficiency
• Interest in e-commerce, product data systems, or AI-native applications

Work Environment & Culture:

• In-person collaboration in a New York office (Flatiron District) Monday–Friday
• Flexible weekend work structure with autonomy over schedule
• Fast-paced engineering culture focused on rapid shipping and experimentation
• Strong emphasis on ownership, technical excellence, and innovation
• Supportive environment with high-caliber engineering talent

Channel3 is building foundational infrastructure for the future of AI commerce, where intelligent systems can understand and transact products across the internet at scale.

Disclaimer: The job details above are structured for clarity and understanding based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process

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