AI Engineer

Quick Facts

• Role: AI Engineer

Description

Build scalable, production-ready AI/ML/GenAI models and pipelines, including training, evaluation, and inference. Deploy and manage models using MLOps practices while implementing vector database and LLM/agent workflows. Ensure AI governance, security alignment, and provide technical mentorship across engineering teams.

Responsibilities

• Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices
• Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit-learn
• Deploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks
• Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows
• Optimize models for accuracy, latency, cost, and scalability across distributed environments
• Ensure AI governance, documentation, ethical compliance, and secure posture alignment
• Provide technical mentorship and drive cross-team engineering standardization

Requirements

• Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related technical discipline (or equivalent experience)
• Minimum 10 years of specialized AI/ML engineering experience
• Advanced Python skills; strong understanding of algorithms, data structures, and distributed systems
• Hands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases
• Proficiency with PyTorch, TensorFlow, scikit-learn, and cloud platforms (AWS, Azure, or Google Cloud)
• Practical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI
• Background in NLP, computer vision, or reinforcement learning
• Experience working in agile engineering environments

Benefits

• Medical: company-subsidized premiums for employees (including family and dependent options)
• Dental and Vision
• Retirement Savings (401k) up to 4% match
• Health Savings Account (HSA), FSA and DCFSA
• Company-paid Short/Long-term disability (with additional supplemental options)
• Company-paid Life and AD&D (with additional supplemental options)
• Generous Paid Time Off and all 11 Federal Holidays
• Legal and Identity Protection Services
• Bonuses for certifications and reimbursement
• Employee perks, company outings, and discounts on services including pet insurance