Senior Software Engineer - AI/ML

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April 25

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Stella Source

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eCommerce • B2B • Retail

Stella Source is a digital commerce platform designed specifically for the metals industry. It simplifies and enhances the ecommerce experience by automating processes from setting up online storefronts to managing orders and payments. With features like a fully branded purchasing experience and a transaction-based payment model, Stella Source enables businesses to grow and strengthen customer relationships efficiently, all while reducing the friction commonly associated with ecommerce.

51 - 200 employees

Founded 2023

🛍️ eCommerce

🤝 B2B

🛒 Retail

📋 Description

• What if the products you built were visibly shaping the world around you? What if your contributions were evident in the experience? What if the team you worked with helped you be better every day and you were encouraged to grow your skillset? What if your leadership team was obsessed with building an organization that treated people like people and allowed them to show up authentically? If any of this sounds like a place you want to be, then keep reading. Because this place exists. And we’re looking for a few more people to join the team. • We are Stella Source and we are transforming the multi-billion-dollar metal services industry through our innovative estimating and sourcing SaaS platform. We are a test and learn team that fails fast, iterates quickly, and drives progress. Growth is the goal, and we do that through a culture of integrity, acceleration, and accountability, with a team first approach. Because of it, we are constantly finding new ways to develop products and evolve existing ones to bring even more value to our amazing customers. This is a team you can be creative, do great work, and expand your skills in your area of expertise. We require it as we stay a small, lean team of a select few. If being seen and working closely with leadership isn’t your thing, then we probably aren’t the place for you. Instead, if you rise to challenges, want your at-bats, and know you bring a whole lot to the table then let’s talk. • We’re hiring a Senior Software Engineer who lives at the intersection of code, cloud, and cutting-edge AI. You’ll rapidly grasp new concepts—agentic AI flows, Azure Machine Learning, custom model training, RESTful service endpoints—and then run with them. You’ll know when to dig in solo and when to reach out for a pairing session, collaborating deeply with product owners, UX designers, data scientists, DevOps engineers, sister- company leaders, and other software engineers across the enterprise. • Prototype new agentic AI flows and build proof-of-concept experiments to explore emerging technologies and uncover practical uses • Build agentic AI flows, Azure ML pipelines, custom training jobs, and Python based service endpoints • Collaborate with product owners, UX designers, data scientists, DevOps engineers, sister company leaders, and fellow software engineers to co-create solutions • Break experiments and feature requests into small, testable, deployable units and own them end to end • Spin up, configure, monitor, and optimize serverless or containerized resources (IAM, CI/CD, cost control) • Implement observability, automated retries, throttling, security, and performance best practices • Surface promising tools or patterns, validate them in pilots, and share findings with the team

🎯 Requirements

• Strong object-oriented programming fundamentals and ability to quickly learn new languages • Comfortable picking up new SDKs, frameworks, and languages • Familiarity with serverless, containers, IAM, and CI/CD pipelines in Azure, AWS, GCP, or similar • Expertise in designing and consuming RESTful and event driven APIs • Experience writing unit, integration, and end-to-end tests • Excellent verbal and written communication skills • Proven ability to thrive in ambiguity, own projects, and know when to ask for help • Deep Python mastery—including Poetry, Python service endpoints, and packaging • Experience with agent-AI frameworks (Autogen, LangChain, Copilot Studio, Semantic Kernel, LangGraph, etc.) • Familiarity with modern front-end frameworks or component libraries (React, Vue, Svelte) • Hands-on DevOps chops (infrastructure as code, container orchestration) • Experience with notebook environments (e.g., Jupyter, Zeppelin, Spark notebooks) for ML training and exploration