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# Software Developer (AI Engineer)

- **Company:** Dexian DISYS
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Machine Learning, Software Deployment, Software Engineering, SQL Databases, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Model Validation, Generative AI, Agentic-AI, Git, Machine Learning Operations, Artificial Intelligence Governance, OpenAI Codex
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/86ac650b-4cf8-427d-931d-dc230fe537c2

## About the Role

We are seeking a hands-on AI Engineer with strong Python and AI experience to develop AI solutions, build rapid Proof of Concepts (PoCs), and convert successful prototypes into production-ready applications. The ideal candidate should have experience with LLMs, RAG, vector databases, and agentic AI frameworks., Minimum of 4 years of python development
Minimum of 4 years of experience working on AI projects, with a focus on productizing AI/ML solutions.
Strong Python programming and software development skills.
Hands-on experience with LLMs and Generative AI.
Experience with RAG, embeddings, vector databases, and agentic frameworks.
Knowledge of prompt engineering, model evaluation, and AI guardrails.
Experience with APIs, Git, and SQL.
Understanding of AI application deployment and production support.

Preferred Qualifications
Experience with Claude Code, OpenAI Codex, or GitHub Copilot.
Knowledge of MCP, LLMs, and AI integrations.
Exposure to AI agents and agentic workflows.
Experience building AI-enabled applications or automation solutions.

## Description

Develop AI applications and rapidly build PoCs.
Implement LLM-based solutions using RAG, vector databases, and AI agents.
Build and integrate APIs, AI pipelines, and MCP tools.
Evaluate AI model performance, improve accuracy, and reduce hallucinations.
Collaborate with product and engineering teams to deliver scalable AI solutions.
Support deployment, monitoring, and maintenance of AI applications.