AI Engineer SME

📋 Description

• Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
• Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or
• 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.

🎯 Requirements

• Active Top Secret (TS) clearance with eligibility for SCI and ability to obtain a CI Polygraph.
• Bachelor's degree or master's degree with 10 years of experience in AI/ML engineering.
• Hands-on experience deploying production AI/GenAI and LLM systems, including embeddings
• Proficiency with PyTorch, TensorFlow, scikit-learn, and cloud platforms (AWS, Azure, or GCP), with
• Experience implementing NLP, computer vision, reinforcement learning, temporal, spatial
• Experience developing multi-step retrieval and structured output workflows with source citations

🎁 Benefits

• Generous cost sharing for medical insurance for the employee and dependents
• 100% company paid dental insurance for employees and dependents
• 100% company paid long-term and short-term disability insurance
• 100% company paid vision insurance for employees and dependents
• 401k plan with generous match and 100% immediate vesting
• Competitive Pay