GenAI Engineer

  • Posted 2 days ago | Updated 2 days ago

Overview

Remote
Up to $100
Contract - W2
Contract - 14 Month(s)

Skills

Python
Machine Learning
Data Science
Artificial Intelligence
Natural Language Processing (NLP)
PyTorch
TensorFlow
Transformers
Hugging Face
NumPy
LLM fine-tuning
LLMOps
Function-calling
Retrieval Augmented Generation (RAG)
Text-to-SQL
Agentic Architectures
Software Engineering Best Practices
Version Control (Git)
CI/CD
Documentation
Unit Testing
Microsoft Azure
Cloud Computing
Communication Skills
Cross-functional Collaboration
Problem-solving
Multi-agent Frameworks
Graph-based GenAI
GraphRAG

Job Details

REMOTE

Summary
As a GenAI engineer, you will develop AI-driven enterprise applications, including
chatbots on company data. Collaborating with a dedicated team of data scientists and software
engineers, you will deliver innovative solutions that drive significant business value and enhance
user experiences.


What You ll Do

Design and develop GenAI-based applications powered by RAG, text-to-SQL, function-
calling, and agentic architectures.

Conduct experiments and analysis to evaluate and optimize the performance and business
value impact of ML and GenAI-based applications.

Interact with business stakeholders to gather feedback and tailor solutions to business
needs.


What We re Looking For

5+ years of experience in software engineering, machine learning, data science, or artificial
intelligence.

Strong proficiency in Python.
Experience using common NLP and/or ML Python frameworks, such as PyTorch,

TensorFlow, Transformers/Hugging Face, and NumPy.
LLM skills including fine-tuning, LLMOps, function-calling, and retrieval augmented

generation (RAG).
Experience following software best practices in team settings, including version control

(Git), CI/CD, documentation, & unit testing.
Exposure to Microsoft Azure or similar cloud computing ecosystem.
Strong communication skills, and ability to collaborate with cross-functional teams.
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.


Preferred Qualifications

Experience developing GenAI applications leveraging multi-agent frameworks and/or graph-
based GenAI approaches (e.g., GraphRAG).


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.