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AI Engineer

INSPYR Solutions

dallas, TX

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Apple, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Cloud Applications, Cloud Computing, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Data Science, Distributed Computing, Docker, Ecosystems, Engineering, Enterprise Applications, GCP (Good Clinical Practices), Go Programming Language (Golang), Java, Machine Learning, Machine Tool, Microsoft C# (C Sharp), Microsoft Product Family, Microsoft Windows Azure, Oracle, Problem Solving Skills, Professional Services, Python Programming/Scripting Language, Scalable System Development, Software Development, Software Engineering, System Architecture, Team Player, Technical Delivery, Technical Leadership, Technical/Engineering Design, Training/Teaching
LOCATION
dallas, TX
POSTED
21 days ago
Title: AI Engineer
Duration: Full Time
Location: Dallas, TX – Hybrid Onsite 3-4 days/week (by Victory Park)

Overview
We are seeking an early-career AI Engineer to join a growing engineering organization focused on building scalable cloud applications, intelligent automation capabilities, and next-generation enterprise platforms. This role is ideal for software engineers who have strong coding fundamentals, cloud exposure, and an interest in modern AI technologies, distributed systems, and backend engineering.
The environment is highly collaborative and engineering-driven, with opportunities to work across cloud infrastructure, platform tooling, backend services, and AI-enabled application development. The team is open to candidates from a variety of technical backgrounds and will provide training on internal platforms, tooling, and AI ecosystems.
Success in this role comes from strong problem-solving ability, software engineering fundamentals, curiosity, and experience operating within high-performing technical environments.
 
Responsibilities
  • Design and develop backend services, APIs, and cloud-native applications supporting enterprise initiatives
  • Build scalable integrations, automation capabilities, and distributed system components across cloud environments
  • Contribute to platform engineering efforts including CI/CD pipelines, infrastructure tooling, observability, and deployment automation
  • Collaborate with engineering teams on application performance, scalability, reliability, and developer experience improvements
  • Participate in system architecture, technical design discussions, and implementation planning across cloud and AI initiatives
  • Support the integration of AI-enabled capabilities, intelligent workflows, and data-driven features into enterprise applications
  • Work closely with senior engineers and technical leadership to learn and contribute within a fast-paced engineering environment
 
Required Qualifications
  • 1–3 years of experience in software engineering, backend development, cloud engineering, or platform engineering
  • Strong programming fundamentals in at least one modern language such as Python, Java, Go, TypeScript, C#, or similar
  • Hands-on exposure to at least one major cloud platform including AWS, Azure, or GCP
  • Familiarity with cloud-native technologies and engineering concepts including APIs, Docker, Kubernetes, CI/CD, infrastructure automation, or distributed systems
  • Internship, co-op, or professional engineering experience within a large-scale technology-driven organization such as Amazon, Google, Microsoft, Apple, Meta, Tesla, Oracle, or similar enterprise environments
  • Undergraduate STEM degree completed within the United States
 
Preferred Qualifications
  • Exposure to modern AI or LLM concepts including:
    • Retrieval-Augmented Generation (RAG)
    • Embeddings and vector search
    • Prompt engineering
    • AI agents and workflow orchestration
  • Familiarity with frameworks or tools such as LangChain, LangGraph, OpenAI APIs, or similar technologies
  • Understanding of machine learning or data science fundamentals
  • Exposure to backend architecture, distributed systems, or platform engineering best practices
  • Interest in AI infrastructure, intelligent automation, and enterprise-scale engineering systems


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.

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