Role: Junior AI Engineer
Location: Salt Lake City, UT (Onsite)
Position Description
We are 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 full-time 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
What you'll bring
Location: Salt Lake City, UT (Onsite)
Position Description
We are 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 full-time 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
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
- AI/ML and Generative AI
- Large Language Models (LLMs) and prompt engineering
- RAG architectures and vector databases
- 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