Software Engineer, Applied AI - Clearance Required

BTI360•Herndon, VA

49d

About The Position

BTI360 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

Requirements

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

Nice To Haves

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 LangChain
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 CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions
Experience developing and deploying containerized applications with tools like Docker and Kubernetes
Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
Contributions to open-source libraries or community projects or personal projects

Responsibilities

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

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