Senior Engineer

As a Senior Engineer at Tavern Research, you will be engaging in a variety of responsibilities including conducting advanced research and development for new products, managing multiple concurrent projects in a dynamic environment, and collaborating with other engineers to ensure quality through code reviews and unit tests. You'll also be involved in gathering feedback to independently manage tool and feature development, making your role both challenging and rewarding.

To be considered for the Senior Engineer role at Tavern Research, you should have a minimum of 5 years of relevant experience, especially in developing products from start to finish. Familiarity with large language models (LLMs), proficiency in coding languages such as Python and JavaScript, and experience with tools like Docker and Kubernetes are essential. You should also have a solid understanding of system design, databases, and CI/CD pipelines, although we emphasize skills over formal qualifications.

No, Tavern Research does not require a degree for the Senior Engineer position. We prioritize skills and expertise over formal educational credentials. If you have the practical experience needed to excel in the role, we'd love to see your application regardless of your educational background.

As a Senior Engineer at Tavern Research, you can look forward to a range of benefits including premium health insurance, unlimited PTO, and a 401k match. Additionally, we close our office for all federal holidays, promoting a healthy work-life balance while you contribute to impactful projects in the political tech space.

While political experience is a plus for the Senior Engineer position at Tavern Research, it is not a requirement. We are more interested in your technical skills and how you can contribute to our mission. If you’re passionate about technology and its application in the political landscape, we encourage you to consider applying.

When tackling product development from end to end, I start by thoroughly understanding the user needs and market landscape, often conducting field research or user interviews. Then, I break the process into manageable stages: ideation and design, prototyping, development, testing, and deployment. Maintaining open communication with stakeholders is crucial throughout, ensuring alignment on objectives and gathering feedback to refine the product.

In my previous roles, I have worked on deploying large language models primarily in natural language processing applications. I coordinated the integration of these models into existing systems leveraging tools such as Kubernetes for orchestration and Docker for creating consistent environments. Ensuring model performance and reliability post-deployment was also a key aspect of my responsibilities.

I have embraced DevOps practices throughout my career, implementing CI/CD pipelines that enhance software delivery speed and reliability. I’ve collaborated with cross-functional teams to automate testing and deployment processes, resulting in a significant reduction in time to market. Continuous monitoring and feedback loops were also vital to improving product iterations in real time.

When managing tight deadlines and multiple projects, I prioritize tasks by urgency and importance. I rely on agile methodologies to break projects into sprints, allowing for flexibility and rapid adjustments as needed. Effective time management and regular check-ins with teammates ensure we stay on track while maintaining quality.

I utilize a combination of tools for code review and testing, such as GitHub for version control and pull requests, which streamline our collaborative review process. Additionally, I implement automated testing frameworks like PyTest for unit tests and continuous integration tools to ensure code quality before deployment.

Quality assurance is integral to my project workflow. I build quality checks into every phase of development, from initial requirements gathering to post-deployment evaluations. Incorporating user feedback cycles, thorough testing strategies, and using metrics to measure success helps ensure that we deliver high-quality products that meet user expectations.

When working with clients to gather feedback, my approach is to establish open lines of communication right from project kickoff. I conduct regular update meetings and feedback sessions, utilizing surveys or prototype demonstrations to capture valuable insights. This ensures that client expectations are met, and adjustments can be made promptly.

One of the most challenging technical problems I faced was optimizing our data processing pipeline, which had significant bottlenecks affecting performance. I analyzed the entire system, identified inefficiencies, and implemented parallel processing techniques, reducing processing time substantially. This not only improved the product's reliability but also enhanced user satisfaction.

To stay current with industry trends and emerging technologies, I follow several tech blogs, participate in online forums, and attend relevant conferences. Networking with other professionals through meetups and seminars also provides insights into best practices and innovations in our field.

What excites me most about working at Tavern Research is the opportunity to directly impact the political landscape through technology. The mission resonates deeply, and I’m thrilled at the thought of collaborating with like-minded individuals to innovate tools and solutions that empower campaigns and enhance decision-making processes.