Sr. AI Engineer

Cav

Tysons (VA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Medical, Dental and Vis
Life insurance
Unlimited PTO + 12 paid holidays
401K Plan
Employee Assistance Program (EAP)

Job summary

Cav is seeking a Senior AI Engineer to develop, implement, and optimize AI/ML models that enhance our platform’s automation, risk detection, and compliance capabilities. You will collaborate with Product, Engineering, and Data Science teams to translate business needs into scalable AI solutions.

The ideal candidate thrives on real-world AI applications, stays ahead of trends in machine learning and generative AI, and enjoys working in collaborative environments within a cybersecurity-focused

Qualifications

  • 5+ years of software engineering with 3+ years in AI/ML roles.
  • Proficiency in PyTorch or TensorFlow.
  • Strong Python programming and data libraries (Pandas, NumPy).
  • Experience deploying ML models in cloud environments (AWS, Azure, GCP).
  • Solid understanding of LLMs, NLP, and other deep learning techniques.
  • Ability to analyze large datasets, optimize algorithms, and improve model performance.
  • Strong problem-solving and collaboration skills.

Responsibilities

  • Develop, implement, and optimize AI/ML models for automation and compliance.
  • Collaborate with Product, Engineering, and Data Science teams.
  • Translate business needs into scalable AI solutions.

Skills

Python programming
Analytical thinking
Collaboration
Cloud ML deployment

Education

Master's degree or higher in Computer Science, ML or related field

Tools

PyTorch
TensorFlow
Pandas
NumPy
AWS
Azure
GCP

Job description

The Company

When your operations are mission-critical, continuous cyber compliance is non-negotiable. Cav is the platform trusted by government agencies and large enterprises to deliver 100% compliance, 100% of the time. From the Department of Defense to the Fortune 500, organizations with complex IT environments rely on Cav’s AI-powered solution to automate evidence collection, control monitoring, and reporting to fulfill compliance requirements. Cav associates all technical control evidence to create a single source of truth - whether on-prem, multi-cloud, or in any hybrid environment – automating and optimizing tedious, incomplete, and expensive cyber compliance programs. Founded and led by veterans of the U.S. military, the Cav team has firsthand knowledge and appreciation for the importance of speed, accuracy and zero-failover in workflows in High-Reliability Organizations. When decisions in the field need to be made quickly, information must be accurate and readily accessible. Cav delivers a real-time, centralized view of operations in cloud, on-premises and air-gapped environments, ensuring leaders are always mission-ready and equipped to deliver in time, with confidence.

The Team

At Cav, our team is composed of high-performing professionals who love to win and are deeply committed to excellence. We work hard, pushing ourselves and everyone around us to do their best work. We seek life-long learners whose North star is honing their craft and who bet on themselves. We’re eager to learn and develop new skills, collaborate across departments, and bring innovative ideas to the table. We understand how to manage our responsibilities with empathy, seek to understand our customers’ and colleagues’ needs, build trusted relationships, and consistently deliver superior value. Cav team members partner closely across Product, Engineering, Sales, Marketing, and beyond to shape the future of our solutions and how we engage the market. It’s a winning culture—and we only want to work with those who strive to be the best.

The Role

We’re seeking a talented and innovative Senior AI Engineer to develop, implement, and optimize AI/ML models that enhance our platform’s automation, risk detection, and compliance capabilities. This role will work closely with Product, Engineering, and Data Science teams to translate business needs into scalable AI solutions. The ideal candidate is passionate about building real-world AI applications, thrives in collaborative environments, and stays ahead of emerging trends in machine learning and generative AI.

Qualifications
Required
  • 5+ years of experience in software engineering with at least 3+ years in AI/MLfocused roles
  • Proficiency in machine learning frameworks such as PyTorch or TensorFlow

Strong programming skills in Python and familiarity with data manipulation libraries (Pandas, NumPy)

  • Experience developing, training, and deploying ML models in cloud environments (AWS, Azure, GCP)
  • Solid understanding of LLMs, NLP, and other deep learning techniques

Ability to analyze large datasets, optimize algorithms, and improve model performance

  • Strong problemsolving and collaboration skills
Desired
  • Strong desire to understand our product, target market, and direction of the company’s growth
  • Willingness to be part of the growth of the organization
  • Enjoy breaking new ground and providing solutions in a rapidly changing environment
  • Experience in applying AI/ML to cybersecurity, threat detection, or compliance automation
  • Knowledge of MLOps tools and practices for model lifecycle management
  • Familiarity with APIs and integrating AI models into production SaaS environments
  • Background in data privacy and security considerations for AI development
  • Master’s degree or higher in Computer Science, Machine Learning, or a related field
Benefits
  • Comprehensive Medical, Dental and Vision coverage for employees and dependents, Nationwide provider network, 90% Employer Paid
  • Life insurance 2X salary to $175K, 100% Employer Paid
  • Unlimited PTO + 12 paid holidays
  • 401K Plan
  • NextGen Employee Assistance Program, confidential service to support employees with daytoday issues, improve work/life balance and enhance wellbeing, 100% Employer Paid
  • FinFit, comprehensive financial wellness tools and resources, 100% Employer Paid
  • Working Advantage, exclusive travel and entertainment discounts, 100% Employer Paid
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