AI Product Builder

Exiger • Richmond, VA

16h • Hybrid

About The Position

Exiger transforms supply chains into a strategic advantage, advancing our mission to make the world safer and more transparent. Our AI platform, 1Exiger, uses proprietary data and advanced AI to reveal risk, automate compliance, and help organizations make better decisions across complex supplier ecosystems. We are reimagining how products are created. At Exiger, the people who build our products don't just write code or hand off requirements—they take an idea from problem to working experience and put it in front of users. This role is designed for an engineer who wants to move deeper into product. You can already build—you write code, connect APIs, work with data, and get functioning software in front of people—but you're increasingly drawn to the product side of the work: deciding what to build, understanding why it matters to a customer, and making thoughtful tradeoffs about what not to build. As an AI Product Builder, you'll use large language models, AI agents, automation tools, code, and rapid prototyping to turn ambiguous problems into product experiences people actually use. You'll work end to end across the application, data, and AI layers while collaborating with engineers, designers, data specialists, customers, and other product builders. This is an early-career opportunity, but not a beginner role. We're looking for someone who has already built and shipped something real—an application, AI agent, automation, internal tool, or other working product—and now wants to develop the product judgment to decide not only how to build, but what to build and why. You don't need to arrive as an expert in every technology we use. We're looking for strong technical foundations, evidence that you love to build, and the curiosity and resourcefulness to learn quickly.

Requirements

• Have built and shipped something real—an application, AI agent, automation, website, internal tool, data project, prototype, open-source contribution, or other working product.
• Understand the fundamentals of large language models, including their capabilities and limitations, and have experimented with getting better results from them.
• Experience with—or a strong interest in—agent orchestration, tool calling, retrieval-augmented generation (RAG), prompt and context design, model evaluation, model selection, or parameter tuning.
• Can write code in a language such as Python, JavaScript, or TypeScript and want to continue developing your engineering skills.
• Some familiarity with APIs, SQL or data structures, Git, testing, and debugging.
• Enjoy starting with an unclear problem and figuring out what to try.
• Comfortable sharing early work, receiving feedback, and improving it quickly.
• Can explain technical ideas clearly to people with different backgrounds.
• Care about whether something is useful to customers—not simply whether the technology is impressive.
• Take ownership of your work and know when to ask for help to move a problem forward.
• One to three years of relevant experience (full-time employment, internships or co-ops, academic or independent research, startup work, open-source contributions, hackathons, freelance work, or substantial personal projects).
• A bachelor's degree in computer science, engineering, data science, information systems, product design, business, or a related discipline, or equivalent practical experience.

Nice To Haves

• Experience building applications with commercial or open-source language models.
• Familiarity with AI agent frameworks, vector databases, embedding models, or evaluation tools.
• Experience deploying an application or operating something used by real users.
• Exposure to cloud platforms and modern software development practices.
• Experience with B2B SaaS, enterprise software, supply chain technology, risk management, or compliance.
• Familiarity with product and collaboration tools such as Figma, Jira, Confluence, or Productboard.

Responsibilities

• Turn customer and business problems into prototypes, experiments, automations, and live product features.
• Build AI-powered applications and workflows using large language models, APIs, data, code, and low-code tools.
• Design and orchestrate AI agents that can use tools, retrieve information, perform tasks, and operate within larger workflows.
• Create AI automations that reduce repetitive work and make complex processes faster, easier, or more accurate.
• Experiment with prompts, context, retrieval strategies, tool use, model selection, and model parameters to improve outcomes for specific use cases.
• Build evaluations and test cases to measure the quality, reliability, accuracy, safety, and usefulness of AI-powered features.
• Rapidly prototype ideas, put them in front of users, learn from their reactions, and iterate.
• Contribute directly to scoped production features with support and review from experienced engineers.
• Connect applications to APIs and data sources and understand how information moves through a software system.
• Investigate unexpected behavior, debug problems, and partner with engineering to develop reliable solutions.
• Talk directly with customers and internal users to understand how they work and identify opportunities to make their jobs easier.
• Use product data and user feedback to decide what to build, improve, or stop.
• Document experiments, decisions, and results so others can understand and build upon your work.
• Use AI responsibly, applying sound judgment around security, privacy, intellectual property, customer data, and human oversight.

Benefits

• Discretionary Time Off for all employees.
• Industry leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level