Overview
On Site
$40 - $50
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
API
Artificial Intelligence
Data Structure
Debugging
FOCUS
Generative Artificial Intelligence (AI)
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft Azure
OOD
Prompt Engineering
PyTorch
Python
TensorFlow
Testing
Workflow
Job Details
Generative AI Engineer (LangGraph Focus) Plano, TX (5 Days Onsite) F2F Interview Final Round
Job Description: Core Technical Skills:
- Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
- LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
- Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
- Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
- Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
- API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
- Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
- Ability to develop workflow automation via an agentic framework.
- Azure experience preferred.
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.