GEN AI Engineer

Remote • Posted 23 hours ago • Updated 22 hours ago

Contract Independent

Contract W2

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

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 23 hours ago

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