AI Engineer

Salt Lake City, Utah

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Type: Contract-to-Hire

Experience: 0

Category: Information Technology

Contractor Work Model: Onsite

Brand: System One

Job ID: 348941

Date Posted: 04/22/2026

Shortcut: http://jobs.systemone.com/IuXuMF


Job Title: Junior AI Engineer
Location: Salt Lake City, Utah, United States
Contract to hire role

Description:

Junior AI Engineer

Position Description
Ready to take your career to the next level? CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production.

In this role, you will work as a consultant supporting enterprise clients, solving complex business and technical challenges. You’ll collaborate with a high-performing team, contribute to impactful client solutions, and gain hands-on experience with cutting-edge AI and cloud-native technologies.

This position is based onsite at a client location in the Salt Lake City, UT area!


Your future duties and responsibilities

How you'll make an impact

• Design and develop AI-driven product features using ML, GenAI, and LLMs
• Build and deploy scalable AI systems using cloud-native architectures
• Implement RAG pipelines, vector databases, and conversational AI systems
• Develop RESTful APIs and microservices (e.g., FastAPI) for model serving
• Containerize and orchestrate applications using Docker and Kubernetes
• Ensure system reliability, scalability, security, and cost efficiency
• Collaborate cross-functionally with product, engineering, and business teams

Required qualifications to be successful in this role

What you'll bring
• Up to 2 years of experience in engineering or related roles
• Familiarity with AI agents and agentic frameworks (e.g., LangChain, LangGraph)
• Understanding of agent design patterns and evaluation techniques
• Experience with Model Context Protocol (MCP) servers
• Proficiency in Python and SQL
• Hands-on experience with:
o AI/ML and Generative AI
o Large Language Models (LLMs) and prompt engineering
o RAG architectures and vector databases
o MLOps practices

• Experience with Docker, Kubernetes, and CI/CD pipelines
• Understanding of microservices architecture and API development
• Knowledge of serverless design, 12-factor apps, autoscaling, and high availability
• Strong problem-solving and communication skills



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