1 day 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 make complex processes faster, easier, or more accurate.
- Experiment with prompts, context, retrieval strategies, tool use, model selection, and model parameters.
- Build evaluations and test cases to measure the quality, reliability, accuracy, safety, and usefulness of AI-powered features.
- Rapidly prototype ideas, present them to users, and iterate based on reactions and feedback.
- 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 develop reliable solutions with engineering partners.
- Talk with customers and internal users to understand their workflows and identify product opportunities.
- Use product data and user feedback to decide what to build, improve, or stop.
- Document experiments, decisions, and results and apply sound judgment around 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 fundamentals, including 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 working through unclear problems, sharing early work, receiving feedback, and explaining technical ideas clearly.
- Care about customer usefulness, take ownership, and know when to ask for help.
- 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 but not required qualifications include experience with commercial or open-source language models, AI agent frameworks, vector databases, embedding models, evaluation tools, deploying applications, cloud platforms, modern software development, B2B SaaS, enterprise software, supply chain technology, risk management, compliance, Figma, Jira, Confluence, or Productboard.
Benefits
- Hybrid work 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.