About the company
Join a distributed engineering team working at the intersection of AI research and product development. You'll transform experimental AI capabilities into reliable, production-ready products for legal workflows.
Responsibilities
- Build repeatable benchmarks and evaluation pipelines that measure AI system performance across accuracy, hallucinations, retrieval quality, latency, and cost.
- Develop dashboards and monitoring systems that make changes in system performance visible and actionable for engineering and research teams.
- Transform experimental AI and research prototypes into maintainable product capabilities, including retrieval, drafting, document-processing, and agent-based workflows.
- Design and maintain backend services, APIs, internal tools, and deployment systems that support testing, iteration, and reliable product releases.
- Deploy and operate cloud infrastructure, including databases, monitoring, delivery pipelines, and other systems required for dependable production operations.
- Collaborate closely with AI research teams to translate experiments and emerging capabilities into robust technical solutions while remaining aligned with product and user needs.
- Contribute across the engineering stack as needed, helping bridge infrastructure, backend, AI systems, and product development.
Requirements
- 3+ years of professional experience as a software, infrastructure, or product engineer building and deploying production systems.
- Strong Python development skills combined with hands-on experience deploying and operating applications in cloud environments.
- Demonstrated experience creating evaluation pipelines, benchmarks, or assessment frameworks for machine learning or AI systems.
- Practical experience with APIs, databases, backend services, deployment pipelines, dashboards, and monitoring systems.
- Ability to take experimental code, ambiguous requirements, or early-stage ideas and turn them into maintainable, production-quality products.
- Interest or hands-on experience with LLMs, retrieval-augmented generation, AI agents, AI benchmarking, or document automation.
- Full-stack development experience is a plus, with familiarity with technologies such as FastAPI, Docker, React, Next.js, Postgres, or vector databases considered beneficial.
- Strong collaboration, problem-solving, and communication skills, with the ability to work effectively across research, engineering, and product functions.
Conditions
- Annual base salary of $180,000–$260,000 USD, depending on relevant skills, experience, and role scope.
- Full-time, fully remote position within the United States.
- Opportunity to work at the intersection of AI research, infrastructure, and product engineering.
- Exposure to applied AI technologies including LLMs, retrieval systems, agents, evaluation frameworks, and document automation.
- Opportunity to help transform experimental AI capabilities into reliable products used in real-world legal workflows.
- Visa sponsorship is not available for this position.