AI/ML Engineer (LLM & Generative AI) - AIENGG #NJ

Hybrid in Plano, TX, US • Posted 6 hours ago • Updated 5 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
No Travel Required
Hybrid
$80+
Fitment

Dice Job Match Score™

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Job Details

Skills

  • scikit-learn
  • PyTorch
  • Python
  • React.js
  • Security Clearance
  • Semantics
  • Microsoft Azure
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Google Cloud Platform
  • Generative Artificial Intelligence (AI)
  • Continuous Delivery
  • Continuous Integration
  • API
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Computer Vision
  • Docker
  • Evaluation
  • Good Clinical Practice
  • Google Cloud
  • Jersey
  • Software Design
  • Microsoft Certified Professional
  • Natural Language Processing
  • Servers
  • TensorFlow
  • Kubernetes
  • LangChain
  • Large Language Models (LLMs)
  • Microservices
  • Privacy
  • Use Cases
  • Vector Databases
  • Workflow

Summary

Job Title: AI/ML Engineer (LLM & Generative AI)

Location: Plano, TX or Hopewell, NJ

Note: Client is looking for someone, who is eligible for getting Security Clearance at any point of time.

Job Summary:

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.


Key Responsibilities:

  • Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications

  • Design and implement MCP servers and AI-driven architectures

  • Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions

  • Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel

  • Integrate AI models into production systems using APIs, Python, and cloud services

  • Collaborate with business stakeholders to identify use cases and deliver measurable outcomes

  • Ensure adherence to responsible AI practices, including data privacy and model governance


Required Skills:

  • Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)

  • Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques

  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn

  • Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)

  • Experience with cloud platforms: Azure, AWS, or Google Cloud AI services

  • Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment


Preferred Skills:

  • Experience with AI copilots, automation frameworks, and agentic AI systems

  • Familiarity with Docker, Kubernetes, microservices, and API orchestration

  • Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders


Additional Skills:

  • Python

  • Machine Learning

  • AI Technologies (OpenShift, React)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10468931
  • Position Id: AIENGG #NJ
  • Posted 6 hours ago
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