AI Analytic Software Engineer-Senior

At NetSage, we are more than a government contractor-we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.

Job Description:  

We are seeking a Senior Artificial Intelligence (AI) Analytic Engineer to lead the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment. In this role, you will integrate advanced AI capabilities through application programming interfaces (APIs) such as OpenAI and AWS Bedrock. You will also build intuitive front-end experiences using technologies like AWS Amplify and React. The ideal candidate for this position will have deep experience implementing analytic governance and AI governance frameworks, and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in Computer Science or a related field and eight (8) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and four (4) years, a Master of Science (M.S.) degree and six (6) years, or an Associate of Science (A.S.) degree and ten (10) years of relevant experience. 
• Strong proficiency with object-oriented languages like Python and Java.
• Demonstrable expertise with analytic development environments and cloud-native platforms.
• Strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
• Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo, or similar tools.
• Experience with the following tech stack:
  • PySpark
  • Jupyter Notebooks
  • Kubernetes
  • Docker
  • Elasticsearch
  • Query Time Analytics
  • Customer tools and data repositories