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AI/ML Engineer

  • Source: LinkedIn
  • Apexon
  • On-site
  • Princeton
  • Full-Time
  • Mid level

Job Description

We’re looking for an AI Engineer with strong hands-on experience in AWS, LLMs, RAG, MCP, and Agentic AI to build scalable and production-ready AI solutions.

Key Areas of Expertise:

  • LLMs, Generative AI & Agentic AI
  • Amazon Bedrock & Claude models
  • RAG & Multi-Agent Architectures
  • MCP server implementation & tool integration
  • Agentic orchestration, Strands Agents & Skills
  • Stateful agent workflows
  • NER, Relation Extraction & Entity Resolution
  • AI evaluation, trust scoring & hallucination detection
  • Output consistency & KPI accuracy

Required Skills:

  • 8 years of experience in AI/ML, Data Science, or related roles
  • Strong Python skills
  • Experience with TensorFlow, PyTorch, Hugging Face
  • Hands-on AWS experience with SageMaker, Bedrock, Lambda, Glue & S3
  • Experience building ML/AI pipelines and cloud-native solutions
  • Knowledge of Docker, CI/CD & MLOps
  • Strong analytical and problem-solving skills

Preferred:

  • AWS Certified Machine Learning certification
  • Experience implementing Generative AI / Agentic AI solutions
  • Experience working in enterprise or regulated environments

Skills

  • amazon-web-services
  • bedrock
  • Python
  • Tensorflow
  • PyTorch
  • hugging-face
  • Docker
  • amazon-machine-learning

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