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# AI Solutions Engineer

- **Company:** Zenox Global, LLC
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Application Performance Management, Automation of Tests, Microsoft Azure, Big Data, Cloud Engineering, Code Review, Databases, Continuous Integration, Database Design, Software Design Patterns, Distributed Systems, Django Web Framework, Python (Programming Language), Object-Oriented Software Development, Query Optimization, OpenAI, Standard Sql, Software Construction, Software Engineering, SQL Stored Procedures, Systems Integration, Enterprise Data Management, Software Organization, Freeform SQL, Sql Optimization, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, IT Architecture, Generative AI, Backend, Git, Fastapi, Solid Principles, Information Technology, Data Management, Restful APIs, Software Version Control, Automation Anywhere, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/0a3a6dee-7f90-4d0d-b4b2-19da8edb95c5

## About the Role

· Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

· 5-7+ years of professional software engineering experience.

· Mandatory experience in the Financial Services domain.

· Strong hands-on experience with Python development.

· Advanced knowledge of SQL, including query optimization, stored procedures, and database design.

· Hands-on experience developing RESTful APIs using FastAPI, Flask, Django, or similar frameworks.

· Strong understanding of Object-Oriented Programming (OOP) and software design principles.

· Experience with microservices architecture and distributed systems.

· Hands-on experience developing and integrating Generative AI applications.

· Experience working with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms.

· Proven experience implementing Retrieval-Augmented Generation (RAG) solutions.

· Strong problem-solving, analytical, communication, and collaboration skills.

Required Technical Skills Category

Required Skills Programming Python

Database

Advanced SQL, Query Optimization, Stored Procedures, Database Design, OpenAI, Azure OpenAI, or similar platforms

AI Architecture RAG, AI Workflows Domain

Financial Services - MandatoryPreferred Qualifications

· Experience developing enterprise-grade AI or data-intensive applications.

· Experience working with cloud-based AI and data platforms.

· Familiarity with vector databases, embeddings, prompt engineering, and AI orchestration frameworks.

· Experience working in Agile/Scrum development environments.

· Experience with CI/CD, Git, automated testing, and modern software development practices.

Ideal Candidate Profile

The ideal candidate is a hands-on Software/AI Engineer who combines strong traditional software engineering fundamentals with practical Generative AI and LLM experience. The candidate should be capable of independently developing production-ready Python

applications while integrating enterprise data and modern AI technologies to deliver business-focused solutions.

## Description

· Design, develop, test, deploy, and maintain scalable and high-performance software applications using Python.

· Develop robust backend services, RESTful APIs, and microservices using frameworks such as FastAPI, Flask, or Django.

· Design and implement efficient, scalable, and reliable database solutions.

· Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database operations.

· Design and develop AI-powered applications using Generative AI technologies.

· Build and implement Retrieval-Augmented Generation (RAG) solutions and AI-driven workflows.

· Integrate and work with Large Language Models (LLMs), including OpenAI, Azure OpenAI, or similar platforms.

· Develop solutions that combine enterprise data, APIs, and AI capabilities to solve business problems.

· Apply software engineering best practices, including object-oriented programming, design patterns, testing, code reviews, and version control.

· Design and develop distributed and scalable services suitable for enterprise environments.

· Collaborate closely with Product Managers, Data Engineers, Software Engineers, and other cross-functional stakeholders.

· Translate business requirements into scalable technical solutions and deliver high-quality software within defined timelines.

· Troubleshoot production issues and continuously improve application performance, reliability, and scalability.