GEN AI Engineer

Remote • Posted 22 days ago • Updated 20 days ago
Contract Independent
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • PoCs
  • MVPs using one or more of the following
  • AI/ML Knowledge: Strong foundation in AI
  • deep learning
  • and machine learning principles. Programming Skills: Expertise in Python and tools like Hugging Face
  • Langchain
  • and OpenAI API. Deep Learning Frameworks: Experience with TensorFlow
  • Keras
  • and PyTorch. Cloud Platforms: Familiar with Google Model Garden
  • Amazon Bedrock
  • and Nvidia Nim. Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools. Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.

Summary

About the Role

Whiztekcorp is seeking a Senior GenAI Engineer to support a healthcare industry client in building next-generation AI and Generative AI solutions. This role focuses on designing, prototyping, and deploying scalable GenAI systems that enhance healthcare operations, customer experience, and internal productivity.
The ideal candidate is a hands-on engineer with strong AI/ML fundamentals and experience building production-ready GenAI applications.

 
 

Key Responsibilities

  • Design, develop, and deploy GenAI solutions, prototypes, PoCs, and MVPs.

  • Build intelligent applications using LLMs, multi-modal AI, and agent-based systems.

  • Integrate GenAI models with enterprise systems and APIs.

  • Develop scalable pipelines for model training, fine-tuning, and evaluation.

  • Collaborate with product, data, and engineering teams to deliver AI-driven features.

  • Optimize performance, cost, and reliability of AI systems in cloud environments.

  • Ensure responsible AI practices, security, and compliance standards.

  • Stay updated with emerging GenAI tools, frameworks, and best practices.

Required Skills & Qualifications

  • Strong foundation in AI/ML, deep learning, and NLP concepts.

  • Expertise in Python and GenAI frameworks/tools.

  • Hands-on experience with:

    • Hugging Face

    • LangChain / LlamaIndex

    • OpenAI APIs or similar LLM platforms

  • Experience with deep learning frameworks:

    • PyTorch

    • TensorFlow / Keras

  • Experience building LLM applications, RAG pipelines, or AI agents.

  • Familiarity with cloud AI platforms such as:

    • AWS (Bedrock, SageMaker)

    • Google Cloud (Vertex AI / Model Garden)

    • Nvidia NIM

  • Experience working with multi-modal data (text, image, audio).

  • Strong problem-solving skills and ability to work in fast-paced environments.

Preferred Qualifications

  • Experience in healthcare or regulated industries.

  • Knowledge of MLOps and model deployment pipelines.

  • Experience with vector databases (Pinecone, FAISS, Weaviate, etc.).

  • Familiarity with Kubernetes, Docker, and CI/CD pipelines.

  • Experience building enterprise-scale AI platforms.

  • Strong communication and collaboration skills.

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: 10132070
  • Position Id: 8881036
  • Posted 22 days ago
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