Overview
Remote
Full Time
Skills
Python
ReactJS
docker
Kubernetes
LLM
MLOps
Generative AI
Job Details
Job Title: AI Engineer Multi-Agent Reasoning Systems
Location: Remote Canada (EST hours)
Type: Full-Time
Job Description:
We are hiring an AI Engineer with a passion for reasoning-based AI systems and experience building multi-agent architectures using large language models for one of our premier clients. You will contribute to the development of advanced agentic systems that utilize LLMs and structured reasoning techniques for intelligent decision-making.
Key Responsibilities:
- Design and implement intelligent agents with structured reasoning capabilities
- Develop and optimize tree-based algorithms (AVL, Red-Black trees) for efficient knowledge retrieval and control logic
- Leverage LLMs with techniques like Chain of Thought, ReAct, and Self-Consistency Decoding
- Build orchestration pipelines using tools like Temporal, LangGraph, and Pydantic
- Collaborate on MLOps integration and continuous agent learning cycles
Required Skills:
- 3 5 years of relevant experience
- Strong Python skills with experience in containerization (Docker, Kubernetes)
- Workflow orchestration with Temporal (or similar)
- Deep experience in tree-based algorithms and data structures
- Proven expertise in prompt engineering and reasoning with LLMs
- Familiarity with agentic frameworks like LangGraph, Pydantic, or similar
Preferred:
- Experience with TensorFlow or PyTorch
- Knowledge of ReAct, Reflexion, or other iterative reasoning frameworks
- Exposure to MLOps practices using tools like MLflow
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.