GenAI Developer / SME

Overview

Hybrid
$65+
Contract - W2
Contract - 6 Month(s)

Skills

Generative Adversarial Networks (GANs)
Variational Autoencoders (VAEs)
Recurrent Neural Networks (RNNs)
Model Training
AI Model Optimization
Python
TensorFlow
PyTorch
LangChain
OpenAI API
Hugging Face
Large Language Models (LLMs)
Cloud-Native Architecture
RESTful APIs
Kubernetes
Performance Tuning
Virtual Assistants
Chatbots.

Job Details

Job Description:

We are seeking a highly skilled GenAI Developer / SME to join our client s innovative team focused on building next-generation AI solutions. The ideal candidate will have hands-on experience developing and training generative AI models, as well as integrating them into production environments to deliver high-quality content and automation solutions.
Primary Responsibilities:

  • Develop and train generative AI models using advanced techniques such as:

    • Generative Adversarial Networks (GANs)

    • Variational Autoencoders (VAEs)

    • Recurrent Neural Networks (RNNs)

  • Design and implement scalable AI architectures and algorithms for generating high-quality content.

  • Collaborate cross-functionally with product teams, software engineers, and data scientists to integrate generative AI models into various applications, including chatbots, virtual assistants, and content generation platforms.

  • Conduct experiments, analyze results, and optimize model performance to improve accuracy, efficiency, and reliability.

  • Stay current with the latest advancements in generative AI research and apply them to drive continuous innovation.

  • Support deployment of generative AI solutions in production environments.

Experience Required:

  • 3 6 years of hands-on experience in software engineering with a focus on AI/ML-powered systems.

  • Strong programming experience in Python, Java, and JavaScript/TypeScript.

  • Experience deploying ML models and integrating them with production applications.

  • Familiarity with LLMs, LangChain, Hugging Face, and OpenAI APIs.

  • Solid understanding of RESTful APIs, microservices architecture, and cloud-native solutions.

  • Experience with Kubernetes, OpenShift, and CI/CD pipelines.

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.

About Sierra Software Solutions