Posted on 2026/03/13
Azure AI ML Engineer
Acumenz Consulting
Houston, TX, United States
Job highlights Identified by Google from the original job post Qualifications • The ideal candidate will have strong experience building Generative AI solutions, LLM applications, and intelligent agent systems • Strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning • Strong Python programming experience • Hands-on experience with LangChain, Hugging Face, and OpenAI APIs • Experience building LLM-based applications and AI agents • Experience with TensorFlow, PyTorch, or Keras • Familiarity with multi-modal AI systems and data processing • Cloud & AI Platforms • Experience with Amazon Bedrock, Google Model Garden, or Nvidia NIM • Experience working with cloud-based AI/ML platforms • 7 more items(s) Responsibilities • This role focuses on developing prototypes, PoCs, and MVPs using modern AI frameworks and cloud platforms • Design and develop Generative AI solutions and LLM-based applications • Build prototypes, PoCs, and MVPs using modern AI/ML tools and frameworks • Develop agent-based AI workflows and intelligent automation systems • Work with multi-modal datasets including text, documents, and structured data • Integrate AI models using APIs and deploy solutions on cloud platforms • Collaborate with cross-functional teams to implement scalable AI systems • 4 more items(s) More job highlights Job description Job Summary
WhiztekCorp is seeking a highly skilled Senior Generative AI Engineer to support our client .
The ideal candidate will have strong experience building Generative AI solutions, LLM applications, and intelligent agent systems.
This role focuses on developing prototypes, PoCs, and MVPs using modern AI frameworks and cloud platforms.
Key Responsibilities
• Design and develop Generative AI... solutions and LLM-based applications.
• Build prototypes, PoCs, and MVPs using modern AI/ML tools and frameworks.
• Develop agent-based AI workflows and intelligent automation systems.
• Work with multi-modal datasets including text, documents, and structured data.
• Integrate AI models using APIs and deploy solutions on cloud platforms.
• Collaborate with cross-functional teams to implement scalable AI systems.
Required Skills
• Strong foundation in Artificial Intelligence, Machine Learning, and Deep Learning.
• Strong Python programming experience.
• Hands-on experience with LangChain, Hugging Face, and OpenAI APIs.
• Experience building LLM-based applications and AI agents.
• Experience with TensorFlow, PyTorch, or Keras.
• Familiarity with multi-modal AI systems and data processing.
Cloud & AI Platforms
• Experience with Amazon Bedrock, Google Model Garden, or Nvidia NIM.
• Experience working with cloud-based AI/ML platforms.
Preferred Qualifications
• Experience building RAG (Retrieval-Augmented Generation) systems.
• Experience with agent frameworks or orchestration tools.
• Strong problem-solving skills and ability to work in a fast-paced environment. Show full description Report this listing Loading...

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