AI Engineer

E-Infosol LLC is hiring an AI Engineer to support the development and deployment of scalable AI, ML, and GenAI solutions. The role is based in Chantilly, VA and emphasizes production-grade MLOps, secure implementation, and AI governance.

Responsibilities

• Build and deliver scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
• Develop Python-based training, evaluation, and inference pipelines using PyTorch, TensorFlow, or scikit-learn.
• Deploy and operate models using 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.
• Apply AI governance, documentation practices, ethical compliance, and secure posture alignment.
• Provide technical mentorship and help drive cross-team engineering standardization.

Requirements

• Active Top-Secret clearance with capability to obtain SCI/CI Poly if required to meet contract requirements.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
• Minimum 10 years of specialized AI/ML engineering experience.
• Advanced Python skills and a 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 such as AWS, Azure, or GCP.
• Practical experience with MLOps tools including MLflow, Azure ML, or Vertex AI.
• Background in NLP, computer vision, or reinforcement learning.
• Experience working in agile engineering environments.

Technologies

• Python, PyTorch, TensorFlow, scikit-learn
• MLOps, CI/CD, containerization, Docker, Kubernetes
• Vector databases, embeddings, LLM applications, agentic AI, tool calling workflows
• AWS, Azure, GCP
• MLflow, Azure ML, Vertex AI
• NLP, computer vision, reinforcement learning
• TypeScript, React, FastAPI
• LanceDB, lance graph, PostgreSQL
• Temporal.io
• Air gapped, hybrid, on premise operational environments, GPU servers, hyperconverged nodes
• Multitenant CrossDomain Solutions (CDS), Attribute Based Access Control (ABAC), ETL

Benefits

• Medical coverage with 100% company-paid premiums for employees and dependent options
• Dental and Vision
• Retirement savings (401k) with up to 4% match
• Health Savings Account (HSA), FSA, and DCFSA
• Company-paid short-term and 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
• UberOne
• Company outings (sporting events, happy hours, etc.)
• Discounts on services including pet insurance

Desired Skills

• Experience in federal, defense, or highly regulated environments.
• Knowledge of ethical AI, governance frameworks, and secure development practices.
• Skills in large-scale optimization, GPU acceleration, or distributed training.
• Experience building APIs, microservices, and automated ML workflows.