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# Python / GenAI Developer

- **Company:** Cliff Services Inc
- **Location:** Dallas, TX, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Code Review, Databases, Data Structures, Relational Databases, Python (Programming Language), Parsing, Data Processing, Scripting, Data Ingestion, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Software Coding, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/9eb4308a-6ff5-4deb-a65a-67e15b420447

## About the Role

* Core Language: Strong proficiency in Python development and data structures.
 * GenAI Toolkit: Hands-on experience with LLMs, prompt engineering, and RAG frameworks.
 * Orchestration: Experience building complex, cyclical graph workflows using LangGraph.
 * Database Skills: Experience with relational SQL databases and vector databases (e.g., Pinecone, Chroma).
 * Industry Domain: Understanding of financial security practices and data handling is highly preferred.

## Description

We are seeking Junior and Senior Python Developers specializing in Generative AI and LangGraph to join our team in Dallas. You will build and scale AI-driven applications, agentic workflows, and intelligent automation pipelines for a major banking client., * Agentic Frameworks: Architect and build multi-agent orchestration systems using LangGraph and LangChain.

 * Pipeline Engineering: Design complex Python-based backend architectures to process sensitive banking data safely.
 * LLM Integration: Fine-tune, evaluate, and deploy Generative AI models for automated financial analysis and compliance.
 * Technical Mentorship: Guide junior team members through advanced coding standards and code reviews.

For Junior Candidates:

 * Code Development: Write clean, maintainable Python scripts to support AI application development.
 * Workflow Support: Implement stateful graphs and conversational flows using LangGraph under senior guidance.
 * Data Ingestion: Assist in building data pipelines, prompt engineering, and parsing banking documents.
 * Testing: Write unit tests to validate the accuracy and safety of AI model outputs.


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