Principal AI Engineer (Software)

Clarity Innovations; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Clarity Innovations is seeking a Software Engineer to develop and maintain platforms for AI tools. This hands-on role requires building scalable solutions using AWS and Azure, ensuring reliability and performance for Government applications. Ideal candidates are proficient in cloud technologies, DevOps, and advanced programming skills, with opportunities for direct customer interaction.

Qualifications

• Experience programmatically interacting with cloud services.
• Proficient in modern DevOps practices and tools.
• Ability to collaborate in a team and execute independently.

Responsibilities

• Build and maintain a platform for AI tools and capabilities.
• Engineer robust, scalable solutions for generative AI tools.
• Design foundational systems for Government use cases.

Skills

Python

Go

Rust

DevOps

Containerization

Linux development

Automated Testing

Machine Learning

Large Language Models

Education

Bachelor's degree in Computer Science, Engineering, or Mathematics

Tools

AWS

Microsoft Azure

Git

Docker

GitLab

Job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Overview

This position requires a strong Software Engineer with the desire to build and maintain a platform for common access of AI tools and capabilities. This role will help build the AI “plumbing” that powers advanced capabilities for our customers. This role will be hands on to engineer robust, scalable solutions for deploying and managing generative AI tools, leveraging both AWS and Azure cloud platforms as well as on-premises infrastructure. This person will be hands-on in designing the foundational systems and pipelines that enable seamless integration of tools into Government use cases, ensuring reliability, security, and performance at scale. The ideal candidate will have a proven track record in designing and implementing cloud-native systems, with a deep understanding of both the technical and operational requirements involved in enterprise-scale AI adoption for Government customers. The role presents unique opportunities, such as regular customer interaction to iterate, streamline, and multiply platform capabilities to meet customer objectives of broad deployment and exceptional flexibility.

Technical Background Requirements

• Bachelors degree in Computer Science, Engineering, Mathematics, or similar
• Proficient writing code in a general-purpose language such as Python, Go or Rust
• Experience programmatically interacting with cloud (e.g.: Amazon Web Service (AWS), Microsoft Azure) services and products
• Experience implementing modern DevOps practices and tools (e.g., CI/CD, IaC, GitOps) in production deployment workflows
• Proficient in containerization technologies (e.g., Docker)
• Proficient in Linux-based development environments (e.g., Ubuntu, RedHat Enterprise Linux, or derivatives)
• Proficient writing Automated Tests (e.g., unit tests, acceptance tests, system/integration tests)
• Proficient with a version control software such as Git and hosted code repositories, such as GitLab
• Experience with GenAI tools like, LangChain, Huggingface, Llama, OpenAI
• Experience with Machine Learning (ML) and Large Language Models (LLM)
• Ability to collaborate as a team but execute independently
• Thrives in a high-trust, adaptable team environment
• Ability to display both breadth and depth of knowledge regarding functional and technical issues

Nice to Have

• In depth understanding of AI protocols and standards
• Experience with unsupervised learning models, foundational modeling, and/or prompt engineering
• Experience with design and implementation strategy around AI API gateways and an understanding of the services required to support enterprise development, including user access and data management

Additional Requirements

• Active TS/SCI w/CI Poly
• Local to the DC/MD area
• Available to travel onsite 2-3 days per week minimum to Fort Meade, MD

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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