AI Engineer

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Job Title: AI Engineer (Software Engineer) Location: Remote (EST hours)
Type: Contract (C2C and sponsorship not available for this role)
Duration: Through Q1 2026 with potential extension
 

Top Skills Required
AWS
API Integrations
GitHub Copilot
Solution Design

Overview
Our client is assembling a high-impact AI Proof-of-Concept (PoC) team focused on rapidly prototyping and evaluating next-generation AI solutions across a range of enterprise use cases. This is a unique opportunity to operate at the forefront of AI, cloud technologies, and real-world business transformation.
We are seeking two AI Engineers who bring strong technical skills, creative problem solving, and the ability to iterate quickly in a collaborative environment.

What You’ll Do
As a core member of our Enterprise Enablement and Architecture teams, you will:

• Design and develop innovative AI solutions based on real business challenges
• Build end-to-end pipelines and containerized applications (Docker, Kubernetes)
• Deliver usable prototypes with measurable performance and cost insights
• Integrate and automate using AWS services, GitHub Copilot, and API frameworks
• Document and transfer knowledge through runbooks, architecture diagrams, and internal training sessions
• Collaborate cross-functionally with architects, cloud engineers, and data science teams to deliver high-impact results in 3-week agile sprints

Tech Stack & Qualifications
Required Experience:

• Strong hands-on experience with AWS
• Proven track record of API integration and microservices development
• Familiarity with GitHub Copilot and CI/CD automation using GitHub Actions
• Proficient in solution design, translating use cases into working systems
• Programming in Python and/or C#
• Containerization using Docker and orchestration with Kubernetes
• Experience working in Agile/Scrum teams with tools like Jira

Preferred Skills:

• Experience with AI/ML frameworks (NLP or CV)
• Familiarity with Tricentis qTest or Tosca
• Exposure to Azure AI services
• Monitoring tools like DataDog or Splunk
• Strong communication, technical documentation, or training facilitation

Why Join?
This is more than a technical role — it’s a chance to lead innovation. You’ll work on prototypes involving:

• Code generation tools
• AI-driven testing accelerators
• NLP assistants and intelligent automation

If you’re passionate about applying AI creatively and pragmatically in the enterprise space — and enjoy moving fast and solving real-world challenges — we’d love to hear from you.
 

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