GenAI Developer

GenAI Developer

Location:

Toronto ON

• Design and develop production‑grade GenAI solutions that combine LLM capabilities with robust Python‑based business logic.
• Build and maintain scalable data pipelines, APIs, and backend services using Python.
• Architect hybrid AI systems (rules + models) to ensure reliability, interpretability, and performance.
• Integrate LLM frameworks (e.g., Lang Chain, Llama Index) to create intelligent workflows and applications.
• Implement embedding models and vector search systems for semantic retrieval and RAG‑based solutions.
• Apply strong prompt engineering techniques to optimize model performance and output quality.
• Deploy and manage AI systems on cloud platforms (AWS preferred) with production best practices.
• Design end‑to‑end AI pipelines including ingestion, processing, inference, and monitoring.
• Optimize systems for latency, cost efficiency, and scalability in real‑world environments.
• Collaborate with cross‑functional teams to translate business needs into AI‑driven solutions.
• Evaluate and mitigate limitations, biases, and risks of LLMs, ensuring responsible AI usage.
• Continuously improve system performance through testing, monitoring, and iterative enhancements.