> Markdown version of [/jobs/ext/4620207-ai-applications-developer](https://www.wearedevelopers.com/jobs/ext/4620207-ai-applications-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Applications Developer

- **Company:** Vensoft Inc
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Databases, Python (Programming Language), OpenAI, SQL Databases, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, AI Platforms
- **Published:** November 7, 2026
- **Apply:** https://www.careerjet.com/jobad/us3e26e378912cdc0960c0a8cf3498533e

## About the Role

* 2+ years of hands-on AI experience or Master's degree in AI.
 * Strong Python programming experience.
 * Hands-on experience with Azure OpenAI and Generative AI.
 * Experience building RAG pipelines, LLM applications, and AI agents.
 * Strong prompt engineering, embeddings, and vector database knowledge.
 * Experience with SQL and C#/.NET.
 * Knowledge of Azure AI Foundry, AI governance, and Responsible AI principles.
 * Strong requirement gathering, communication, and technical documentation skills.

Additional Requirements

 * Bachelor's degree with 10+ years of programming/analysis experience or equivalent.
 * Must be local to Phoenix, AZ.
 * Must be eligible for contract-to-hire/FTE conversion.
 * No visa sponsorship available.
 * Must obtain and maintain an Arizona Level One Fingerprint Clearance Card.

## Description

Seeking a Senior/Lead AI Applications Developer with strong experience in Generative AI, LLMs, and enterprise application development. The candidate will design, develop, and deploy secure AI-powered solutions to automate business processes and improve operational efficiency within a closed enterprise environment.