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BTI360 · 8 hours ago

Software Engineer, Applied AI - Polygraph Required

Chantilly, VA & Herndon, VA

Full-time

Onsite

Mid Level

BTI360 is a data discovery company that uses AI to transform proprietary data into actionable insights. They are seeking a Software Engineer to drive innovative solutions applying advanced AI techniques to solve complex problems, focusing on building mission-critical applications and ensuring the quality and reliability of AI-driven systems.

Information TechnologySoftwareSoftware Engineering

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

Active TS/SCI with PolygraphPythonNodeJSCloud environment (AWS)Software testingCI/CD pipeline toolsContainerized applicationsOpen-source contributionsMonitoringEffective communicationObservability

Required

Active 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

Preferred

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

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