ME00634-Software Engineer 4

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.Job SummarySeeking a senior software engineer to help integrate AI-enabled capabilities into analyst workflows and mission systems to accelerate cyber data triage, improve decision support, and enhance operational effectivenessThis role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS)Primary ResponsibilitiesDevelop full stack applications and services that leverage large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other emerging AI capabilitiesDesigning, developing, and deploying AI/ML models and tools for data mining, predictive modeling, and knowledge discoveryIntegrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIsImplement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes availableCollaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support mission deliverablesEnsure all AI/ML workflows comply with DoW cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environmentsAssist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usageEducate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environmentsAssessing data patterns in systems and network misconfigurationWorking with a team of Cyber Analysts to support quick turn requests for vulnerability information by continually improving LLMsConduct analyses of alternatives (AoAs) to compare internally developed approaches against commercial, open-source, and industry-standard techniquesDevelop and execute experiments to assess model performance using appropriate evaluation metrics and representative datasetsRequired QualificationsMust have active Top Secret/SCI clearance with NSA Full Scope PolygraphMust have a Bachelor of Science in Computer Science, Cybersecurity, Information Systems, or related field and 10+ years of relevant experienceFamiliarity with machine learning concepts, including model training, evaluation, tuning, and performance measurementAbility to assess model effectiveness using quantitative metrics and communicate tradeoffsDepth of experience with prompt engineeringProficiency in Python and experience developing RESTful APIs and backend servicesExperience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environmentsUnderstanding of modern AI concepts, including LLMs, embeddings, RAG, vector search, and agentic workflowsDemonstrated familiarity with Microsoft and/or AWS platform ecosystemsDemonstrated proficiency using command-line interfaces such as Windows PowerShell/Command Prompt for routine development, troubleshooting, scripting, and automation tasksWorking knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integrationAbility to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoringDemonstrated 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 practicesDemonstrated experience with configuration management, including defining and maintaining configuration baselines, using configuration management tools e.g., Ansible, Puppet, Chef, Terraform to manage infrastructure and application settingsStrong written and verbal communication skillsPassionate about AI and platform modernizationAbility to rapidly prototype solutions, iterate based on user feedback, and operate effectively in ambiguous problem spacesAble to translate complex technical issues into actionable guidance for mixed technical and non-technical audiencesMission-oriented, collaborative, and proactiveDesired QualificationsNo desired qualifications listed at this timeExempt 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.