AI Software Engineer

BT-93 – AI Software Engineer

Location : Tysons  (fully on-site, no remote option)

• MUST HAVE A POLY CLEARANCE TO APPLY

As a Software Engineer in this role, you will be tasked with the intricate process of analyzing both structured and unstructured datasets. Your primary objective will be to identify commonalities across these datasets, organize them into a uniform structure, and perform entity resolution on the unstructured data. This will require a deep understanding of Python development and a proven track record of handling diverse data types. You will be expected to leverage your strong AI experience, particularly with large language models and GenAI, to implement a Chatbot-style interface that will serve as a critical touchpoint for stakeholders. Your role will also involve the design, architecture, and prototyping of complex AI-based systems that are essential for the organization's data management strategy.

Your technical toolkit should include proficiency in working with vector databases and SQL, as well as a solid grasp of User Interface implementation using frameworks such as React or Angular. Familiarity with AWS cloud architecture will be crucial as you will be responsible for deploying AI models that can process a wide array of structured and unstructured data formats. The ability to clean data for ingestion and analysis is also a key part of your role, ensuring that the data is primed for optimal AI model performance. Your success in this position will be bolstered by your capacity to examine data holdings and use cases critically, enabling you to determine the most effective approach for grooming data for the AI systems you will be developing.

To excel in this position, you should bring a wealth of experience in AI model optimization, which will be central to your daily responsibilities. Your role will require you to integrate Large Language Model chatbots, a cutting-edge technology that will enhance the organization's data interaction capabilities. The ability to navigate and implement vector databases will be essential, as this forms the backbone of the data structuring process. Your success will be measured by your ability to seamlessly integrate AI models that effectively manage the organization's diverse data formats. Your innovative approach to AI-based architecture will not only streamline data processes but also set new standards for data management within the organization.

Here is what you need :

Bonus if you have :

Education :