ME00634-Software Engineer 4

About the Company

Momentum Engineering, Inc. fosters an employee-centric culture with a team of highly skilled professionals, many holding advanced degrees in engineering, computer science, and related disciplines. Our workforce includes individuals with security clearances and full-scope polygraphs, enabling trusted support for sensitive national security initiatives. We maintain industry-leading certifications and a strong commitment to continuous learning, reflected in our exceptional employee retention rate and culture of professional growth and mission focus.

About the Role

Seeking a senior software engineer to integrate AI-enabled capabilities into analyst workflows and mission systems. This role focuses on accelerating cyber data triage, improving decision support, and enhancing operational effectiveness in secure government settings. Familiarity with cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS) is essential.

Responsibilities

• Develop full stack applications and services leveraging large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other emerging AI capabilities.
• Design, develop, and deploy AI/ML models and tools for data mining, predictive modeling, and knowledge discovery.
• Integrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIs.
• Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes available.
• Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support mission deliverables.
• Ensure all AI/ML workflows comply with DoD cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments.
• Assist in knowledge transfer and training activities, including developing tutorials and best practices for AI/ML usage.
• Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.
• Assess data patterns in systems and network misconfigurations.
• Work with a team of Cyber Analysts to support quick-turn requests for vulnerability information by continually improving LLMs.
• Conduct analyses of alternatives (AoAs) to compare internally developed approaches against commercial, open-source, and industry-standard techniques.
• Develop and execute experiments to assess model performance using appropriate evaluation metrics and representative datasets.

Requirements

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph.
• Bachelor of Science in Computer Science, Cybersecurity, Information Systems, or related field and 10+ years of relevant experience.
• Familiarity with machine learning concepts, including model training, evaluation, tuning, and performance measurement.
• Ability to assess model effectiveness using quantitative metrics and communicate tradeoffs.
• Depth of experience with prompt engineering.
• Proficiency in Python and experience developing RESTful APIs and backend services.
• Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
• Understanding of modern AI concepts, including LLMs, embeddings, RAG, vector search, and agentic workflows.
• Demonstrated familiarity with Microsoft and/or AWS platform ecosystems.
• Proficiency using command-line interfaces such as Windows PowerShell/Command Prompt for routine development, troubleshooting, scripting, and automation tasks.
• Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration.
• Understanding of how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
• Demonstrated experience in database management, including designing and maintaining relational databases, writing and optimizing SQL queries, implementing backup and recovery procedures, and applying database security and performance best practices.
• Demonstrated experience with configuration management, including defining and maintaining configuration baselines, using tools such as Ansible, Puppet, Chef, or Terraform.
• Strong written and verbal communication skills.
• Passionate about AI and platform modernization.
• Ability to rapidly prototype solutions, iterate based on user feedback, and operate effectively in ambiguous problem spaces.
• Able to translate complex technical issues into actionable guidance for mixed technical and non-technical audiences.
• Mission-oriented, collaborative, and proactive.

Benefits

• 11 paid holidays.
• Minimum of 3 weeks PTO.
• Company-sponsored group medical plan.
• Company-paid dental, vision, life insurance, and short-term/long-term disability plans.

Pay

The pay range for this role is $225,000 - $250,000 USD per year, dependent upon the candidate’s experience and qualifications.