AI Engineer – Generative AI & Agentic Systems

Zenith System Solutions; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Zenith System Solutions seeks an AI Engineer to build scalable Generative AI applications using LangChain and LangGraph. You will design complex, stateful conversational workflows and engineer prompts for LLMs, integrating APIs and tools to deliver reliable AI solutions.

Ideal candidates have deep Python experience, familiarity with GPT-3/4, Claude, Llama or similar models, and hands-on experience with agentic workflows and evaluation techniques.

Qualifications

• Advanced Python programming skills including asynchronous programming and OOP concepts.
• Hands-on experience building and deploying Generative AI applications with LangChain, LangGraph, and LLMs.
• Strong background with OpenAI GPT-3/4, Claude, Llama or similar models and familiarity with Small Language Models (SLMs).
• Expertise in prompt engineering, testing, and optimization for complex conversational systems.
• Experience designing and debugging conversational workflows using LangGraph and integrating external APIs/tools.

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 with appropriate tools.
• Collaborate with engineering teams to improve AI performance and reliability.
• Support deployment, maintenance, and optimization of AI applications.

Skills

Python programming

LangChain

LangGraph

Large Language Models

Prompt engineering

Agentic workflows

API integration

Asynchronous programming

OOP

PyTorch

TensorFlow

Hugging Face Transformers

Job description

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