Title: AI Engineer 
Duration: Full Time
Location: Dallas, TX – Hybrid Onsite 3-4 days/week (by Victory Park)

Overview

We are hiring an AI Engineer to help build cloud-native applications, backend systems, platform capabilities, and intelligent workflows supporting enterprise AI initiatives. This role is ideal for engineers with strong software engineering fundamentals, cloud experience, and interest in modern AI, platform, and distributed systems technologies.

The team is open to candidates from a variety of technical backgrounds and plans to train engineers on the internal environment, tooling, and AI ecosystem. The most important qualities are strong coding ability, problem-solving skills, cloud exposure, and experience working within high-performing engineering organizations.

Responsibilities

• Build backend services, APIs, and cloud-native applications supporting enterprise workflows and AI initiatives
• Develop scalable systems, integrations, and automation capabilities across distributed cloud environments
• Support platform engineering, infrastructure tooling, and CI/CD workflows
• Work with engineering teams on application scalability, reliability, and developer experience improvements
• Participate in architecture, design, and implementation discussions across AI, cloud, and platform initiatives
• Support integration of intelligent workflows, AI-enabled features, and data-driven capabilities into enterprise applications

Must-Have Qualifications

• 1–3 years of software engineering, cloud, or platform engineering experience
• Strong coding fundamentals in any modern programming language (Python, Java, Go, TypeScript, C#, etc.)
• Experience working with at least one major cloud platform (AWS, Azure, or GCP)
• Exposure to cloud-native technologies such as Kubernetes, Docker, CI/CD, APIs, or infrastructure automation
• Internship, co-op, or professional experience with a FAANG or FAANG-adjacent company (Amazon, Apple, Google, Microsoft, Meta, Tesla, Oracle, etc.)
• Undergraduate STEM degree completed within the US

Nice to Have

• Exposure to AI/LLM concepts such as:

RAG
embeddings
vector search
prompt engineering
agentic workflows
• Exposure to LangChain, LangGraph, OpenAI APIs, or similar frameworks
• Understanding of data science or machine learning fundamentals
• Experience with distributed systems, backend services, or platform engineering concepts

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

26-156827