9 hours ago
Richmond, VA, USA or McLean, VA, USAEntry Level / Mid Level
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 use tools, retrieve information, perform tasks, and operate within larger workflows.
- Create AI automations that reduce repetitive work and improve the speed, ease, or accuracy of complex processes.
- Experiment with prompts, context, retrieval strategies, tool use, model selection, and model parameters.
- Build evaluations and test cases for the quality, reliability, accuracy, safety, and usefulness of AI-powered features.
- Rapidly prototype, present work to users, gather feedback, and iterate.
- Contribute to scoped production features with support and review from experienced engineers.
- Connect applications to APIs and data sources, investigate unexpected behavior, debug issues, and partner with engineering on reliable solutions.
- Talk with customers and internal users, use product data and feedback to prioritize work, and document experiments, decisions, and results.
- Apply responsible AI judgment concerning security, privacy, intellectual property, customer data, and human oversight.
Requirements
- Have built and shipped something real, such as an application, AI agent, automation, website, internal tool, data project, prototype, open-source contribution, or substantial personal project.
- Understand large language model capabilities and limitations and have experimented with improving model results.
- Have experience with or strong interest in agent orchestration, tool calling, retrieval-augmented generation, prompt and context design, model evaluation, model selection, or parameter tuning.
- Be able to write code in Python, JavaScript, or TypeScript.
- Have some familiarity with APIs, SQL or data structures, Git, testing, and debugging.
- Be comfortable starting with unclear problems, sharing early work, receiving feedback, and explaining technical ideas to varied audiences.
- Care about customer usefulness, take ownership, and know when to ask for help.
- A typical candidate may have one to three years of relevant experience, which may come from employment, internships, co-ops, research, startup work, open source, 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 is helpful but not required; equivalent practical experience is welcome.
- Helpful qualifications include experience with commercial or open-source language models, AI agent frameworks, vector databases, embedding models, evaluation tools, application deployment, cloud platforms, B2B SaaS, enterprise software, supply chain technology, risk management, compliance, Figma, Jira, Confluence, or Productboard.
Benefits
- Hybrid work arrangement in Richmond, VA or McLean, VA, with a flexible approach to working from home and the office.
- Discretionary time off for all employees.
- Health, vision, and dental benefits.
- 16 weeks of fully paid parental leave.
- Competitive compensation package.
Tech Stack
Categories
About Exiger
Exiger builds AI- and data-driven software for supply chain, third‑party risk, and compliance management, used by corporations, banks, and government agencies. Its 1Exiger platform provides supplier visibility, risk detection, and due diligence, delivered as SaaS with supporting analytics and advisory services. Headquartered in McLean, Virginia, Exiger is FedRAMP authorized for U.S. public‑sector use and is majority‑owned by The Carlyle Group.