AI Engineer

  • Irving, TX
  • Posted 15 hours ago | Updated 15 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent

Skills

Artificial Intelligence
AI/ML
LLM
Python
performance
Fast API
Django
OpenAI
AWS
MLOps
vector
Docker
Microsoft Azure
Machine Learning Operations (ML Ops)
Machine Learning (ML)
FOCUS
Google Cloud Platform
Kubernetes
PyTorch
API
Amazon Web Services

Job Details

AI Engineer

Location: Irving, TX

Duration: 6+ Months

Rate: DOE

Job Overview:

We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, large language models (LLMs), and Python. The ideal candidate will design, build, and deploy intelligent AI/ML solutions that enhance automation, decision-making, and user experience.

Key Responsibilities:

  • Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.
  • Build, fine-tune, and optimize machine learning models for production environments.
  • Develop robust, scalable APIs and services in Python for AI-powered applications.
  • Collaborate with cross-functional teams (data engineers, software developers, and product managers) to deliver end-to-end AI solutions.
  • Research and evaluate emerging AI/ML frameworks, tools, and methodologies.
  • Ensure security, scalability, and performance of deployed models.

Required Skills & Qualifications:

  • Strong programming experience in Python (Fast API, Flask, or Django a plus).
  • Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.
  • Knowledge of agent development frameworks (Lang Chain, Auto Gen, or equivalent).
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and ability to work independently or in a team environment.

Nice to Have:

  • Experience in AI security and compliance in cloud-native environments.
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS).
  • Exposure to MLOps tools and practices
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.