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Loading LAYIQ…Job opportunity
Washington D.C.
Source: Citian careers · View original posting
From Citian's posting. “We” and “our” refer to the employer.
Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation and infrastructure systems – roads, rail, transit, bicycle, pedestrian – operate.
You’ll work with some of the brightest minds in the software and transportation industries. Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base. We work with clients across the United States, with global ambitions in the years ahead.
You're a product-minded software engineer who turns customer problems into reliable AI-enabled capabilities. You've built and shipped production LLM features, and you know the difference between a convincing demo and a dependable product. You work across the stack, prototype quickly, validate both the value and the correctness of what you build, and turn the experiments that work into production software. You know when AI is the right approach and when conventional software is better.
You're comfortable with ambiguous requirements and work with engineering, data science and customer-facing teams to find where AI creates real value for transportation agencies.
Work with product, design, Customer Success and data science to understand agency problems, and help find and validate where AI adds value and where it doesn't.
Design, build and ship AI-enabled capabilities within our products, end to end, from data access to the application.
Fit model-based features into our existing software and data architecture without building unnecessary AI infrastructure, and record the key design decisions.
Design and maintain evaluations for AI features, including correctness, grounding, authorization, appropriate abstention and regression detection. Establish practical release criteria and use production feedback to improve quality.
Make AI-generated results traceable to their underlying data, queries and assumptions.
Enforce customer isolation and each user's own permissions, including when tools retrieve or query data, and guard against prompt injection.
Own features in production: latency, cost, reliability, monitoring, failure modes and incident response.
Choose the right technique for each problem (prompting, tool use, retrieval, text-to-SQL, fine-tuning or no AI at all), weighing accuracy, cost, speed and time to market.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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