AI Integration Engineer

Citian, Inc.
Washington, DC, United States
2 days ago
Apply on www.juju.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Geographic Information Systems Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Application Integration Architecture Computer Vision Data Integrity Data Mining Data Stores Python (Programming Language) Cloud Services
+6 more
Standard Sql Large Language Models Model Validation AWS Lambda Information Technology Restful APIs

Job description

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 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.

Requirements

  • Bachelor’s in Computer Science, Data Science, or related field
  • 5+ years of professional experience through work or personal projects
  • 1+ 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

Benefits & conditions

  • 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

** Citian is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann Chris Heilmann +3 · LIVE

2:45 min

Executing event-driven code using AWS Lambda functions

Sebastien Stormacq Sebastien Stormacq · LIVE

2:20 min

Decoupling user data with decentralized web nodes

Angie Jones Angie Jones · World Congress 2023

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

3:44 min

Automating storage savings with S3 intelligent tiering

Sébastien Stormacq · World Congress 2021

1:12 min

Building intelligent applications and enhancing developer productivity experiences

Alexander Wallner Alexander Wallner +3 · World Congress 2024

Videos

See all

Related articles

See all