Bachelor's in Computer Science, Data Science, or related field
5+ years of professional experience in technology and AI
3+ years of experience focusing on AI in a product context
Strong understanding of optimization and algorithms
Proficiency in Python/SQL with data management capabilities
Familiarity with RESTful APIs for integration prototyping
Experience with cloud services like AWS for scalable AI solutions
Exposure to civil engineering or transportation infrastructure
Responsibilities
Bridge civil engineering knowledge with AI capabilities to ensure real-world applicability
Collaborate with research teams on AI model capabilities and fine-tuning
Lead development of models to meet performance standards including tool usage
Work with Data team on datasets for AI applications and enhancements
Drive AI image recognition strategies for data extraction and validation
Contribute to strategy for transportation-specific AI models and evaluation
Evaluate and recommend third-party AI tools based on project needs
Manage application of AI in quality assurance processes for data integrity
Benefits
Medical, dental, and vision insurance
Generous paid time off (PTO)
401(k) company match
Monthly commuter transportation benefit
On-site gym and complimentary snacks
Growth opportunities in a fast-paced startup environment
Full Job Description
Who You Are:
As an AI Integration Engineer at Citian, you'll lead efforts incorporating AI into our products, bridging civil engineering domain knowledge with practical AI implementation. You will work alongside our Engineering, Data, and Research teams to build scalable processes and find solutions to improve our data integrity. You will be expected to prototype ideas, assess third-party tools and models, and translate technical findings into actionable product decisions. You are resourceful, innovative, and continuously seek opportunities to improve processes and drive efficiency. Your strong communication and collaboration skills enable you to work effectively with cross-functional teams and stakeholders. If you are passionate about applied AI Engineering and are eager to contribute to the success of a startup, we would love to hear from you.
Expected Duties:
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 to balance product strategy and research by working with our research team 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.
Required Skills & Experience:
Bachelor's in Computer Science, Data Science, or related field
5+ years of professional experience through work or personal projects
3+ years of AI focused experience ideally within a product environment
Strong understanding of Computer Science topics such as optimization and algorithms
Understanding of Python/SQL code and ability to retrieve and store data safely through a back end
Familiarity with RESTful APIs and back-end concepts sufficient to prototype, test, and evaluate integrations. Hands-on implementation experience a plus but not required.
Experience with cloud services, specifically AWS, and the ability to leverage its features for scalable back-end AI solutions is highly desired. (S3, Lambda Functions)
Experience with computer vision or AI image recognition applications, even at a prototyping or evaluation level.
Meaningful exposure to civil engineering, transportation infrastructure, or geospatial data, sufficient to critically evaluate AI outputs in these domains and communicate credibly with domain experts.
Capacity to communicate solutions with teammates
Your Citian Advantage:
Competitive salary and benefits package including medical, dental, and vision insurance and generous PTO.
401(k) company match and monthly commuter transportation benefit
On-site gym and free snacks in the office
High-growth potential and opportunities for advancement within a fast growing, venture-backed SaaS startup!
Let's build smarter cities together! Learn more about Citian here: www.citian.co
