

AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 3–5 years of full-stack development experience, focusing on AI/ML applications in cybersecurity. Contract length is unspecified, with a pay rate of "unknown." Proficiency in Python and cloud platforms like Azure or GCP is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Scala #Cybersecurity #Kubernetes #AI (Artificial Intelligence) #ML (Machine Learning) #Azure #Agile #Java #Deployment #Python #Security #C# #GCP (Google Cloud Platform) #Cloud
Role description
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Overview:
We are seeking a Specialty Software Engineer 3 to support enterprise-level AI initiatives within our cybersecurity domain. This role is ideal for an AI Engineer with solid full-stack development experience and hands-on exposure to large language models (LLMs), agentic AI frameworks, and modern development tools.
Key Responsibilities:
Develop and deploy AI/ML-powered applications with emphasis on integration and interoperability across services.
Contribute to agentic AI frameworks, incorporating intelligence into existing enterprise services.
Collaborate with cross-functional teams to deliver scalable AI-driven solutions.
Write clean, efficient, and maintainable code in Python, Java, and/or C#.
Operate within an Agile SDLC, contributing to design, coding, testing, and deployment activities.
Required Qualifications:
3–5 years of full-stack development experience (end-to-end application development).
Strong proficiency in Python and at least one additional language (Java or C# preferred).
Experience with AI engineering concepts, including LLMs and agentic frameworks.
Working knowledge of cloud platforms: Azure or Google Cloud Platform (GCP).
Familiarity with OpenShift (OCP) or Kubernetes-based environments is a plus.
Preferred Skills:
Hands-on experience in deploying applications to enterprise-grade internal clouds or hybrid cloud environments.
Strong understanding of software development lifecycle (SDLC) and frameworks integration.
Proactive, self-motivated, and team-oriented individual able to thrive in dynamic environments.