Job description

Who We Are: Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in Gartner® Magic Quadrant™ for Supplier Risk Management. Work Environment: Hybrid Locations: Richmond, VA or Mclean, VA 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. What You'll Do: 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. How We Work Our product development lifecycle is AI-enabled from beginning to end. We use AI to accelerate research, explore ideas, analyze information, generate and review code, create tests, document decisions, and improve the products we deliver. AI does not replace judgment or accountability. You'll learn how to evaluate model output, recognize limitations, select the right approach for a problem, and determine when human review is necessary. You'll have room to experiment, access to experienced collaborators, and opportunities to take on increasingly complex work as your skills grow. We value curiosity, initiative, thoughtful risk-taking, and learning through building. You May Be a Great Fit If You have built and shipped something real—an application, AI agent, automation, website, internal tool, data project, prototype, open-source contribution, or other working product. You understand the fundamentals of large language models, including their capabilities and limitations, and have experimented with getting better results from them. You have 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. You can write code in a language such as Python, JavaScript, or TypeScript and want to continue developing your engineering skills. You have some familiarity with APIs, SQL or data structures, Git, testing, and debugging. You enjoy starting with an unclear problem and figuring out what to try. You are comfortable sharing early work, receiving feedback, and improving it quickly. You can explain technical ideas clearly to people with different backgrounds. You care about whether something is useful to customers—not simply whether the technology is impressive. You take ownership of your work and know when to ask for help to move a problem forward. Experience This role is designed for someone near the beginning of their career. A typical candidate may have one to three years of relevant experience , but we care more about what you've learned and built than a specific number of years. Relevant experience may come from 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 can be helpful, but equivalent practical experience is equally welcome. Helpful, but Not Required 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. We don't expect an early-career candidate to have all of these. If the role excites you and you can show us how you think and what you've built, we encourage you to apply. What Success Looks Like During your first year, you will: Develop a practical understanding of Exiger's customers, platform, data, and AI development practices. Ship useful prototypes, AI automations, and product improvements. Progress from contributing to scoped features to independently leading well-defined product problems. Demonstrate the ability to select and configure appropriate AI models and tools for different use cases. Build AI experiences that are measurable, reliable, and grounded in real customer needs. Earn the trust of product and engineering teammates through curiosity, technical contribution, sound judgment, and follow-through. Help Exiger discover better and faster ways to build products with AI. Show Us What You've Built We welcome links to projects, portfolios, GitHub repositories, demos, research, technical writing, or other examples of your work. Your project doesn't need to be polished or commercial. We're interested in the problem you chose, what you created, how you approached it, the decisions you made, and what you learned. Exiger's approved benefits, equal opportunity, company recognition, and hybrid-work language should follow this role-specific content. Why You’ll Love Working at Exiger: High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence. 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. Exiger is named a Leader in the Gartner ® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn . At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs. #Li-Hybrid Exiger is named a Leader in the Gartner ® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn . At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

Requirements

Must-haves

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.
AI does not replace judgment or accountability. You'll learn how to evaluate model output, recognize limitations, select the right approach for a problem, and determine when human review is necessary.
You May Be a Great Fit If
You have built and shipped something real—an application, AI agent, automation, website, internal tool, data project, prototype, open-source contribution, or other working product.
You understand the fundamentals of large language models, including their capabilities and limitations, and have experimented with getting better results from them.
You have 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.
You can write code in a language such as Python, JavaScript, or TypeScript and want to continue developing your engineering skills.
You have some familiarity with APIs, SQL or data structures, Git, testing, and debugging.
You enjoy starting with an unclear problem and figuring out what to try.
You are comfortable sharing early work, receiving feedback, and improving it quickly.
You can explain technical ideas clearly to people with different backgrounds.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavascripttypescriptsqlfigmajira

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave