Overview
On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Skills
artificial int
Machine Learning (ML)
Large Language Models (LLMs)
Django
Analytical Skill
Amazon Web Services
Google Cloud Platform
PyTorch
Flask
Docker
Machine Learning Operations (ML Ops)
Kubernetes
Artificial Intelligence
Job Details
AI Engineer
Location: Irving, TX(Hybrid)
Employment Type: Contract
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 drive automation, improve decision-making, and enhance user experience. This is an exciting opportunity to work on cutting-edge projects in a collaborative, fast-paced environment
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 use.
- Develop robust, scalable APIs and services in Python to power AI-driven applications.
- Collaborate with cross-functional teams data engineers, software developers, and product managers to deliver end-to-end AI solutions.
- Research, evaluate, and integrate emerging AI/ML frameworks, tools, and methodologies.
- Ensure security, scalability, and performance of deployed AI/ML models.
Required Skills & Qualifications
- Strong programming experience in Python (experience with FastAPI, Flask, or Django is a plus).
- Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.
- Knowledge of agent development frameworks (e.g., LangChain, AutoGen).
- Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker/Kubernetes).
- Strong analytical and problem-solving skills with the ability to work independently and 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 for scalable model deployment and monitoring.
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.