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

NavitasPartnersvia Teal
RemotoTrenton, New Jersey, UsPlenoCLTHoje

Salário Estimado

R$ 9.009,00 - R$ 13.514,00

Descrição da Vaga

the position 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.


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 Requirements
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 Nice-to-haves
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 • Python
Machine Learning • AI Technologies (OpenShift, React)

Requisitos

  • The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices
  • 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
  • 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
  • Python
  • Machine Learning
  • AI Technologies (OpenShift, React)

Responsabilidades

  • 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

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Informações

NívelPleno
ContratoCLT
LocalTrenton, New Jersey, Us
RemotoSim
MoedaBRL
PublicadaHoje
FonteTeal

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