Software Engineer, Applied AI Security Clearance

Position: Software Engineer, Applied AI with Security Clearance
Python Software Engineer – Applied AI BTI
360 is a data discovery company, using AI to transform proprietary data into actionable insights that directly support our customer's mission. We are seeking a Software Engineer with the expertise, creativity, and leadership to drive innovative solutions that apply advanced AI techniques to solve complex problems. This is an opportunity to make a tangible impact by leveraging cutting-edge technology, data, and a deep understanding of mission-driven challenges.  

In this role, you will:
• Work closely with teammates and stakeholders in a Lean Agile environment to build mission-critical applications focused on data discovery and analysis  
• Develop and maintain context-aware data systems to provide GenAI applications with domain-specific knowledge and situational awareness
• Participate in system architecture discussions, design reviews, and code reviews to promote technical excellence
• Leverage modern build tools, testing frameworks, and CI/CD pipelines to ensure quality and delivery speed  
• Ensure reliability, observability, and security in AI-driven systems
• Collaborate with cross-functional teams to deliver end-to-end AI solutions  You might thrive in this role if you have the following skills:
• Active Secret clearance or above with ability to upgrade to TS/SCI with Polygraph
• Strong software engineering skills using object-oriented principles – Python or NodeJS preferred
• Strong understanding of software testing, code quality, and deployment best practices
• Experience designing and implementing scalable and maintainable software in a cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking
• Effective written and verbal communication skills for technical collaboration and stakeholder engagement You may excel in this role if you have also these skills:  
• Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI
• Familiarity with AI development frameworks and tooling such as Lang Chain
• Ability to engineer solutions that process and extract value from large-scale structured and unstructured data
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS Code Build (preferred), Jenkins, Git Lab CI, or Git Hub Actions  
• Experience developing and deploying containerized applications with tools like Docker and Kubernetes
• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), Cloud Watch, or ELK/EFK
• Contributions to open-source libraries or community projects or personal projects