AI Engineer (Python, LangGraph, Google ADK)

Overview

We are seeking a highly skilled AI Engineer with expertise in Python, LangGraph, and Google AI Development Kit (ADK) to join our innovative technology team. This role involves designing, developing, and deploying advanced artificial intelligence solutions that leverage large language models and graph-based algorithms. The ideal candidate will play a pivotal role in advancing our AI capabilities, utilizing cutting-edge frameworks and cloud services to deliver scalable and efficient solutions. This position offers an exciting opportunity to work at the forefront of AI research and application development, contributing to transformative projects across diverse industries.

Job Title

AI Engineer (Python, LangGraph, Google ADK)

Location

Phoenix, AZ / Dallas, TX

Duration

Long-Term Contract

Independent Candidate only

Job Summary

We are seeking a highly skilled AI Engineer with strong expertise in Python development, LangGraph, and Google ADK (Agent Development Kit) to design and build next-generation AI/GenAI applications. The ideal candidate will have hands-on experience in building agentic workflows, LLM-based systems, and scalable AI architectures.

Key Responsibilities

• Design, develop, and deploy AI/GenAI solutions using Python.
• Build and manage agentic workflows using LangGraph.
• Develop intelligent agents using Google ADK (Agent Development Kit).
• Integrate Large Language Models (LLMs) into enterprise applications.
• Work on multi-agent orchestration, tool integration, and memory management.
• Optimize AI models for performance, scalability, and cost efficiency.
• Collaborate with cross-functional teams including product, data, and engineering.
• Ensure code quality, testing, and deployment using CI/CD pipelines.

Required Skills

• Strong programming experience in Python (must-have).
• Hands-on experience with LangGraph for workflow orchestration.
• Experience with Google ADK (Agent Development Kit).
• Solid understanding of LLMs, prompt engineering, and RAG architectures.
• Experience with frameworks like LangChain, OpenAI APIs, or similar.
• Knowledge of REST APIs, microservices, and distributed systems.
• Familiarity with cloud platforms (GCP preferred, AWS/Azure acceptable).

Experience

• AI Engineer : 8 years (Preferred)
• Python: 3 years (Preferred)
• LangGraph: 3 years (Preferred)
• Google ADK: 3 years (Preferred)
• LLMs, prompt engineering, and RAG architectures. : 1 year (Preferred)
• GCP : 1 year (Preferred)
• Azure: 1 year (Preferred)
• AWS: 1 year (Preferred)
• REST APIs, microservices: 1 year (Preferred)

Work Location

In person