Z
AI Engineer – Generative AI & Agentic Systems
Zenith System Solutions
5 hours ago
Full-time
On-site
Plano, Texas, United States
Role:
AI Engineer - Generative AI & Agentic Systems
Job ID:
DOX1JP00011502
Employment Type:
Full Time
Role Overview We are looking for an AI Engineer with strong Python programming skills and hands-on experience developing Generative AI applications using LangChain, LangGraph, and Large Language Models (LLMs). The ideal candidate should have expertise in prompt engineering, agentic workflows, API integrations, and graph-based conversational systems. The role focuses on designing, developing, and optimizing intelligent AI solutions with scalable and reliable architectures.
Job Duties and Responsibilities
Design, develop, and maintain AI-powered applications using Python.
Build and deploy Generative AI solutions using LangChain and LangGraph.
Develop complex, stateful, and branching conversational workflows.
Design, test, and optimize prompts for Large Language Models.
Integrate external APIs, tools, and data sources into AI-driven applications.
Develop workflow automation using agentic AI frameworks.
Implement and evaluate agentic workflows using relevant evaluation tools and techniques.
Collaborate with engineering teams to improve AI application performance and reliability.
Support the deployment, maintenance, and optimization of AI applications.
Required Qualifications and Skills
Advanced proficiency in Python, including asynchronous programming, data structures, and object-oriented design.
Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph.
Strong understanding of Large Language Models such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar models.
Familiarity with Small Language Models (SLMs).
Expertise in prompt engineering, testing, and optimization.
Experience designing and debugging complex conversational workflows using LangGraph.
Knowledge of API development and integration with external tools and data sources.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, and Hugging Face Transformers.
Experience developing workflow automation using agentic frameworks.
Understanding of agentic AI application evaluation techniques and tools.
Preferred Qualifications
Experience with Microsoft Azure.
Basic knowledge of data engineering concepts.
Familiarity with PySpark and Databricks.
Technical Skills / Tech Stack
Programming:
Python, asynchronous programming, OOP
AI Frameworks:
LangChain, LangGraph
Machine Learning:
PyTorch, TensorFlow, Hugging Face Transformers
AI Development:
Prompt engineering, agentic workflows, conversational AI
Evaluation:
Agentic AI evaluation frameworks and tools
#J-18808-Ljbffr
AI Engineer - Generative AI & Agentic Systems
Job ID:
DOX1JP00011502
Employment Type:
Full Time
Role Overview We are looking for an AI Engineer with strong Python programming skills and hands-on experience developing Generative AI applications using LangChain, LangGraph, and Large Language Models (LLMs). The ideal candidate should have expertise in prompt engineering, agentic workflows, API integrations, and graph-based conversational systems. The role focuses on designing, developing, and optimizing intelligent AI solutions with scalable and reliable architectures.
Job Duties and Responsibilities
Design, develop, and maintain AI-powered applications using Python.
Build and deploy Generative AI solutions using LangChain and LangGraph.
Develop complex, stateful, and branching conversational workflows.
Design, test, and optimize prompts for Large Language Models.
Integrate external APIs, tools, and data sources into AI-driven applications.
Develop workflow automation using agentic AI frameworks.
Implement and evaluate agentic workflows using relevant evaluation tools and techniques.
Collaborate with engineering teams to improve AI application performance and reliability.
Support the deployment, maintenance, and optimization of AI applications.
Required Qualifications and Skills
Advanced proficiency in Python, including asynchronous programming, data structures, and object-oriented design.
Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph.
Strong understanding of Large Language Models such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar models.
Familiarity with Small Language Models (SLMs).
Expertise in prompt engineering, testing, and optimization.
Experience designing and debugging complex conversational workflows using LangGraph.
Knowledge of API development and integration with external tools and data sources.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, and Hugging Face Transformers.
Experience developing workflow automation using agentic frameworks.
Understanding of agentic AI application evaluation techniques and tools.
Preferred Qualifications
Experience with Microsoft Azure.
Basic knowledge of data engineering concepts.
Familiarity with PySpark and Databricks.
Technical Skills / Tech Stack
Programming:
Python, asynchronous programming, OOP
AI Frameworks:
LangChain, LangGraph
Machine Learning:
PyTorch, TensorFlow, Hugging Face Transformers
AI Development:
Prompt engineering, agentic workflows, conversational AI
Evaluation:
Agentic AI evaluation frameworks and tools
#J-18808-Ljbffr