AI Integration Engineer

Citian is a venture-backed SaaS technology company developing software solutions for transportation and infrastructure systems. The AI Integration Engineer will lead the incorporation of AI into Citian’s products, bridge civil and transportation engineering expertise with AI implementation, evaluate models and tools, and improve data quality through scalable processes and QA/QC applications.

Responsibilities:

• Serve as the domain bridge between civil/transportation engineering knowledge and AI capabilities, evaluating whether AI outputs meet real-world infrastructure standards and directing the team accordingly
• You will help guide teams on prompting techniques, model capabilities, domain specific finetuning
• Help lead our efforts to get models to perform how we want them to, including enabling models with tool use and other techniques to get the best out of the LLMs
• Work closely with our Data team and specific datasets that can be used for continued pre-training, RLHF, in-context-learning (ICL), and other applications
• Lead AI image recognition and computer vision strategies for infrastructure asset data extraction assessing model approaches, overseeing implementation, and validating outputs against domain benchmarks
• Contribute to fine-tuning strategy for transportation/infrastructure-specific models by collaborating with the research team on domain adaptation, benchmarking, and model evaluation
• Evaluate and recommend third-party AI tools, APIs, and foundation models relevant to Citian's use cases, balancing build vs. buy tradeoffs in coordination with Engineering
• Own and manage the application of AI to QA/QC processes; directing strategy, evaluating outputs for domain accuracy, and iterating with the Data team to continuously improve data quality and integrity