> Markdown version of [/jobs/ext/4006086-software-engineer-agent-retail](https://www.wearedevelopers.com/jobs/ext/4006086-software-engineer-agent-retail). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Agent - Retail - **Company:** Sierra Technologies Inc - **Location:** Atlanta, GA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Google Maps, Salesforce.Com, Shopify, Software Engineering, Systems Architecture, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Search Engines, Text Summarization - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-agent-retail-atlanta-ga--1eed2698-84d4-457a-bf22-cacacebe5abc ## About the Role Software Engineering, Retail, Mortgage, Artificial Intelligence (AI) Agents, Customer Relations, Business Growth, Accounts Receivable, Facebook, Google Maps, Salesforce.com, * Experience building and scaling end-to-end production systems. * Strong technical problem-solving skills, especially in fast-changing, ambiguous environments. * A builder and tinkerers mindset with high agency - you find creative ways to overcome obstacles and ship. * Comfort working directly with customers to understand their needs and solve real-world problems. * Excellent communication skills-clear, direct, and persuasive across technical and non-technical audiences. * Excitement in the retail space and a care for helping some of the world's top brands continue to build brand loyalty with their customers. Even better... * Experience building or deploying AI/LLM systems in production * Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed * Familiarity with tools that power todays AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering * Prior experience with React, TypeScript, and/or Go * Previous roles where you interfaced with customers or led technical projects with external stakeholders ## Description * The Retail team on Agent Engineering supports some of the largest and most storied consumer brands in the world - including Gap, Wayfair, Sonos, and ADT. Together, we're reinventing what commerce looks like in this new, AI-first era. Our customers rely on us to not only deliver novel experiences, but also host hundreds of millions of shopper and vendor interactions across web, app, phone, and in-store channels every year. * Our team supports our customers' customers in the moments that matter - whether thats guiding a shopper to the right product during a limited drop or a Black Friday surge, locating a package that never arrived, or troubleshooting an appliance that stopped working. Always true to each brand's voice, we create seamless experiences that resolve issues, drive revenue, increase lifetime value, and build lasting loyalty. * Our team supports our customers customers in the moments that matter most, from product discovery and checkout to order tracking and troubleshooting. Always true to each brand's voice, we create seamless experiences that resolve issues, drive revenue, increase lifetime value, and build lasting loyalty. * Every engineer on the Retail Team is a product-led thinker; every PM on Retail is also tinkering and developing tangible prototypes; and every strategist on Retail is capable of owning an agent end to end. As a part of this team, youll set the standard on what it means to go beyond your role, and help build the groundwork for the retail industry in the future. What you'll do * Design and deliver production-grade AI agents: Youll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierras growth. These arent prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. * Drive the Agent Development Life Cycle (ADLC): Youll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. Youll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. * Partner with large enterprises and cutting-edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. Youll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. * Build the future of the platform: Your direct work with customers will guide the evolution of Sierras core platform. Youll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierras product. Example projects These are some examples of projects that engineers on our team have worked on recently: * Abstracting complex commerce systems into packages: Modernize the sprawl of order management, fulfillment, returns, and warranty systems behind the large retailer ecosystem by creating scalable packages that optimize looking up and updating orders for customers - from Shopify storefronts to decades-old homegrown Order Management System (OMS) and claims platforms. * Shipping the full discovery-to-checkout lifecycle: Build personalized shopping flows that carry a shopper from a vague idea to a completed order. This includes everything from building a recommendation engine that combines transcript-aware planning, structured filters, and semantic and keyword search to payment and order placement. * Building production-grade agents at a truly global scale: Sierra's retail agents serve some of the world's largest global brands, handling traffic at unprecedented volumes during the busiest times of the year and across all geographic locales. You will be building at the frontier of enterprise applied AI., * Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. * Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. * Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. * Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. * Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements.