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# AI Python Engineer

- **Company:** Codeforce 360
- **Location:** Dallas, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Python (Programming Language), Language Modeling, Search Technologies, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Fastapi, Virtual Agents, Restful APIs, Web Api
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/f014d9a4-3d85-45d1-b4d8-52f972f9e125

## About the Role

About the Job- We are looking for an experienced AI Python Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in Python, Google ADK, Google Cloud Platform, AI/GenAI along with experience working in fast-paced enterprise environments., We are looking for an experienced AI/GenAI Engineer with strong expertise in Python, Lang Chain, and Google Agent Development Kit (ADK) to design and develop intelligent, scalable, and production-ready AI applications and agentic solutions.

Must Have Skills:

 * Strong proficiency in Python
 * Hands-on experience with LangChain / LangGraph
 * Strong experience with Google ADK (Agent Development Kit)
 * Experience building AI Agents and Agentic AI workflows
 * Strong understanding of LLMs, prompt engineering, and RAG
 * Experience with Google Cloud Platform (Google Cloud Platform) and Vertex AI
 * Experience developing REST APIs using FastAPI
 * Knowledge of vector databases and semantic search
 * Experience integrating AI agents with external APIs, tools, and enterprise systems

## Description

* Design and develop AI agents and multi-agent applications using Python, LangChain, and Google ADK.
 * Build agentic workflows involving tool calling, planning, reasoning, memory, and orchestration.
 * Develop and integrate RAG-based applications using LLMs and enterprise data.
 * Integrate Google ADK with Google Cloud, Vertex AI, APIs, databases, and external tools.
 * Develop scalable backend services and APIs using Python/FastAPI.
 * Implement prompt engineering, context management, evaluation, monitoring, and optimization of LLM applications.
 * Work with vector databases and embedding models to build efficient semantic search solutions.
 * Collaborate with product, data, and engineering teams to translate business requirements into AI solutions.
 * Ensure AI applications are secure, scalable, reliable, and production-ready.


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