(Remote) AI Engineer

Cayenta is seeking a forward-thinking AI Engineer to join our R&D team and bring practical Artificial Intelligence capabilities to our Enterprise Resource Planning (ERP) and Customer Information System (CIS) platforms.

This role is focused on leveraging existing AI tools, frameworks, and orchestration platforms—not building foundational AI models from scratch.

You’ll be applying AI technologies like LangChain, Langflow, Azure AI Studio, Hugging Face, and OpenAI APIs, as well as orchestration protocols like A2A or MCP, to deliver real features such as AI-powered customer service agents, ERP copilots, and semantic document search tools.

You’ll work collaboratively across teams to experiment, prototype, and deliver production-ready AI functionality that improves user experiences and business outcomes.

The AI Engineer reports to the Director of Research & Development, with a preference for candidates based in Canada.

What Will Be Your New Role:


* Develop AI-augmented functionality embedded in Cayenta’s ERP and CIS applications to support user efficiency and intelligent automation.


* Design and build intelligent CSR-facing agents, RAG-enabled copilots, and context-aware assistants for operations and customer service teams.


* Utilize AI orchestration tools like LangChain, Langflow, and cloud-based AI platforms (e.g., Azure OpenAI, OpenAI, Hugging Face) to quickly prototype and refine solutions.


* Integrate AI solutions into our Go/.Net/C#/React/Python based architecture, working closely with frontend/backend developers to ensure seamless user experiences.


* Implement semantic search, prompt engineering, vector-based retrieval, and agent chaining using modern LLM techniques.


* Process unstructured content (e.g., PDFs, emails, knowledge bases) to enable intelligent AI interactions within enterprise workflows.


* Iterate rapidly on prototypes using internal feedback, balancing feasibility, performance, and value.


* Ensure all AI solutions are aligned with Cayenta’s data governance, security, and responsible AI practices.

What Are We Looking For:


* 2–5 years of relevant experience in software development, AI tooling, or AI feature integration.


* Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.


* Strong working knowledge of AI application development using platforms such as:
+ LangChain, Langflow, OpenAI APIs
+ Azure AI Studio, Hugging Face, or similar GenAI tools


* Solid grasp of key AI/LLM concepts, including:
+ Retrieval-Augmented Generation (RAG)
+ Prompt engineering
+ Semantic search and vector embeddings
+ Agent orchestration and task chaining


* Proficiency with Python, or other backend frameworks, and experience integrating APIs or services into enterprise systems.


* Familiarity with low-code/no-code AI platforms, and comfort working across different layers ...