Active Top Secret/SCI clearance with NSA Full Scope Polygraph
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or related field
10+ years of software engineering experience for Level 3; 15+ years for Level 4
Strong proficiency in Python programming and software development
Experience with RESTful APIs and enterprise software applications
Understanding of AI/ML concepts and modern AI technologies
Familiarity with cloud platforms like Microsoft Azure or AWS
Responsibilities
Design and develop enterprise software applications leveraging AI/ML technologies
Integrate AI capabilities into existing mission systems for cyber data analysis
Deploy AI/ML models and tools for data mining and process automation
Develop Python-based applications and backend services
Evaluate AI model performance through testing and metrics
Collaborate with multidisciplinary teams to deliver mission-focused solutions
Maintain technical documentation and ensure compliance with cybersecurity requirements
Benefits
11 paid holidays
Minimum of 3 weeks PTO
Company-sponsored group medical plan
Company-paid dental, vision, life insurance, and STD/LTD plans
Full Job Description
Job Summary
Seeking an experienced Software Engineer (Level 3 or Level 4) to support the development, integration, and deployment of AI-enabled capabilities within secure Intelligence Community (IC) mission environments
The ideal candidate will have a strong background in software engineering, Python development, AI/ML technologies, and cloud-based solutions
This position focuses on integrating large language models (LLMs), retrieval-augmented generation (RAG), and emerging AI technologies into operational systems to improve cyber data analysis, automate workflows, and enhance mission effectiveness
We are looking for a technically strong, hands-on engineer who can evaluate emerging AI platforms, develop innovative solutions, and collaborate with multidisciplinary teams to implement secure, scalable applications
Primary Responsibilities
Design, develop, maintain, and enhance enterprise software applications and services that leverage AI/ML technologies, LLMs, RAG, vector search, and agentic workflows
Develop and integrate AI-enabled capabilities into existing mission systems and analyst workflows to support cyber data triage, vulnerability analysis, and decision-making
Design, develop, and deploy AI/ML models and tools supporting data mining, predictive analytics, knowledge discovery, and process automation
Develop Python-based applications, backend services, RESTful APIs, and automated data processing solutions
Integrate AI/ML applications into secure cloud-based architectures, ensuring interoperability with existing enterprise systems
Evaluate AI model performance, accuracy, reliability, and effectiveness through testing, experimentation, and quantitative metrics
Support model optimization, prompt engineering, fine-tuning, and continuous improvement based on operational requirements and user feedback
Collaborate with cyber analysts, data engineers, software developers, and systems engineers to define requirements, troubleshoot issues, and deliver mission-focused solutions
Conduct analyses of alternatives (AoAs) to evaluate commercial, open-source, and internally developed AI technologies
Support cloud infrastructure, containerized applications, databases, configuration management, and automated deployment processes
Develop and execute software test procedures, troubleshoot application issues, and ensure solutions meet functional and performance requirements
Maintain technical documentation, development standards, implementation procedures, and knowledge-transfer materials
Ensure solutions comply with applicable DoD/IC cybersecurity, data protection, access control, and secure development requirements
Required Qualifications
Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline
Level 3: 10+ years of relevant software engineering experience
Level 4: 15+ years of relevant software engineering experience
Strong proficiency in Python programming, software development, scripting, and automation
Experience developing RESTful APIs, backend services, and enterprise software applications
Understanding of AI/ML concepts, including model training, evaluation, performance measurement, and optimization
Knowledge of modern AI technologies, including LLMs, prompt engineering, embeddings, RAG, vector databases, and agentic workflows
Experience supporting AI/ML, software development, data engineering, or cloud-based solutions in government, defense, or enterprise environments
Familiarity with Microsoft Azure and/or AWS cloud platforms and supporting services
Working knowledge of cloud architecture, containerization, databases, APIs, identity and access management, and secure system integration
Experience with relational databases, SQL development, query optimization, and database management
Experience with configuration management and infrastructure automation tools such as Ansible, Puppet, Chef, or Terraform
Proficiency using command-line tools, scripting utilities, and development environments for troubleshooting and automation
Ability to evaluate technical alternatives, troubleshoot complex systems, and rapidly develop and refine solutions
Strong analytical, communication, documentation, and collaboration skills
Desired Qualifications
Experience with Java, JavaScript, Elasticsearch, Dagster, and Docker
Familiarity with Kubernetes and container orchestration
Experience designing and implementing full-stack applications and AI-enabled services
Experience integrating LLMs into enterprise applications and operational workflows
Knowledge of MLOps, model hosting, data pipelines, orchestration, monitoring, and model lifecycle management
Experience with secure cloud environments, isolated networks, and government cybersecurity requirements
Familiarity with cyber threat analysis, vulnerability assessment, network configurations, and security-focused data analytics
Experience supporting Intelligence Community or Department of Defense mission systems
Experience implementing automated testing, software deployment pipelines, and modern software development practices
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
