AI/ML Engineer Multiple Openings to the Various Locations

Title: AI/ML Engineer (2 openings)

Location: Malvern, PA (preferred) - Charlotte, NC | Dallas, TX

Work Model: Hybrid 3 days onsite

Job Description:

• We are seeking an experienced AI/ML Engineer to design, build, and deploy scalable machine learning and generative AI solutions.
• This role will focus on LLM-based applications, agentic AI frameworks, MLOps, and cloud-native ML engineering on AWS.

Key Responsibilities:

• Design and develop production-grade AI/ML solutions, including LLM applications with RAG and structured outputs.
• Implement agentic AI frameworks (LangGraph, AutoGen) and Model Context Protocol (MCP) for secure orchestration.
• Build and manage scalable data, model, and MLOps pipelines using AWS services (SageMaker, Lambda, ECS/ECR).
• Integrate security and identity solutions (Okta, JWT) for API and service authentication.
• Monitor model performance, investigate alerts, and support end-to-end model lifecycle management.
• Collaborate with data scientists, product owners, and business stakeholders to align AI solutions with business goals.
• Produce required governance and compliance artifacts (MDLC/MPLC documentation).

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
• 6+ years of experience in AI/ML engineering, data engineering, and MLOps.
• Strong Python skills with hands-on experience in TensorFlow, PyTorch, or Scikit-learn.
• Deep experience with AWS ML stack (SageMaker, Bedrock, Glue, Lambda).
• Hands-on experience building LLM-based applications with RAG and GenAI evaluation frameworks.
• Experience with CI/CD, Docker, Kubernetes, and cloud-native deployments.
• Solid understanding of software engineering best practices, security, and ML lifecycle management.

Nice to Have:

• Experience with data governance, model explainability, and responsible AI practices.
• Familiarity with React UI, GraphDB, and GenAI performance evaluation.