Lead Software Engineer - AI Solutions

Role Overview

As a Commerce brand, Feedonomics is a leading product feed management platform that helps brands, retailers, and agencies list and optimize products across top ecommerce channels worldwide. We are seeking a highly accountable, hands-on AI Lead Engineer to define and lead the architectural direction of our AI services, establishing the standards and patterns that guide implementation.

What You Will Do

Define and evolve the architectural direction for AI services and initiatives, lead high-level and low-level design for major AI programs, establish architectural patterns and technical guidelines, build and evolve scalable, API-driven AI services in Go, develop LLM-based solutions, drive rapid experimentation and prototyping, and define and enforce standards for evaluation, cost-awareness, and operational reliability across AI systems.

Why It Might Be a Fit

7+ years of professional software engineering experience, strong proficiency in Go (GoLang) and experience building production-grade, API-driven services, proficiency in Python for experimentation, prototyping, and scripting, 3+ years of experience building and deploying AI/ML systems in production environments, and strong experience with modern LLM ecosystems.

Requirements

• 7+ years of professional software engineering experience
• Strong proficiency in Go (GoLang) and experience building production-grade, API-driven services
• Proficiency in Python for experimentation, prototyping, and scripting
• 3+ years of experience building and deploying AI/ML systems in production environments
• Strong experience with modern LLM ecosystems (e.g., OpenAI, Anthropic, Hugging Face)
• Deep understanding of LLM-based solution patterns, including Retrieval-Augmented Generation (RAG), structured outputs, schema-driven generation, and agents/orchestration workflows
• Familiarity with MCP (Model Context Protocol) servers and orchestration approaches
• Experience evaluating LLM performance in production contexts, including prompt design, quality measurement, and model comparison
• Experience designing and operating scalable API services at scale
• Strong experience with cloud infrastructure (AWS, GCP, or Azure)
• Experience with vector databases and inference systems
• Strong SQL skills and familiarity with modern data storage technologies

Benefits

• Variable compensation (such as bonus or commission)
• Equity
• Benefits