Python / GenAI Developer
Cliff Services Inc
Dallas, TX, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Unit Testing
Code Review
Databases
Data Structures
Relational Databases
Python (Programming Language)
Parsing
Data Processing
Scripting
Data Ingestion
Large Language Models
+6 more
Multi-Agent Systems
Prompt Engineering
Generative AI
Backend
Software Coding
Data Pipelines
Job 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.
Requirements
- 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.
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