Lead AI Engineer Copperleaf

About the Role 

We are looking for a Lead AI Engineer with a strong software engineering background and deep expertise in Generative AI to join our this role you will conceive research and develop Gen AI-powered multi-agent systems (MAS) for an enterprise SaaS product.   The team operates in a fast-paced startup mode with regular stakeholder check-ins and dynamic objectives and you will work among other high-performing high-initiative individuals.  

What youll do: 

• Design and build multi-agent systems that plan delegate and reason to achieve complex objectives using frameworks such as LangChain LangGraph and Azure AI Foundry. 
• Build retrieval-augmented generation (RAG) systems with techniques such as vector search hybrid retrieval knowledge graphs re-ranking document chunking embedding and long-term memory using AI developer frameworks and technologies such as Azure AI Search Neo4j and MongoDB. 
• Implement observability evaluation monitoring and guardrails to maximize performance quality security and robustness in Gen AI applications.  These systems will reduce hallucinations and drift mitigate the risk of attacks ensure data-handling compliance and maximize the relevance reliability and accuracy of system output.   
• Inform architectural choices and technology selection. 
• Stay current with new Gen AI technologies and frameworks prompt techniques tooling and LLMs. Prototype new patterns and inform team direction. 
• Collaborate to integrate and deploy these systems into larger software stacks via APIs and multi-tenant enterprise SaaS hosted in cloud infrastructure. 

Qualifications :

What youll bring: 

• Bachelors degree in computer science engineering or a related field. (Masters or PhD in Machine Learning AI or Data Science is a plus but not required.) 
• 5 years of software development experience with at least 2 years focused on machine learning or AI engineering. Experience working in a fast-paced dynamic startup or agile development environment is highly desirable.  Ability to make trade-offs and deliver results quickly with limited resources. 
• Practical experience with Gen AI technologies and expertise in Gen AI concepts.   Solid understanding of different types of LLMs and Gen AI architectures such as Mixture-of-Experts (MoE) embedding models reasoning models foundation models and fine-tuned LLMs among others. Proven track record of building and shipping Gen AI featurescontext engineering evaluation RAG and multi-agent systems. Experience with observability evaluation and guardrails. 
• Advanced programming skills in Python and experience with AI-powered IDEs or tools such as Cursor or Windsurf.  Strong programming fundamentals and software engineering best practices with proficiency in leveraging AI code-generation tools effectively and safely. 
• Experience with Azure services and Git or similar developer tools. 
• A strong intuition for how people engage with agentic AI systems combined with the creativity passion and innovative thinking needed to imagine and build new software experiences that truly meet user needs. 
• Strong communication skills and the ability to work effectively in a team. 
• Demonstrated ability to take initiative and lead projects. 

Additional Information :

What Were Offering

• Salary Range: $135000 - $165000 CAD
• Flexible paid time off including sick and holiday 
• Flexible spending accounts 
• Life insurance and disability benefits 
• Tuition assistance 
• Community involvement and volunteering events 

We believe that coming together as a community in person is important for innovation connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.

Remote Work :

No

Employment Type :

Full-time