Build Generative AI solutions with LLMs, RAG, and agentic frameworks at Infosys in Mississauga, Ontario. Lead hands-on development and deployment. This mid-level engineering role focuses on next-generation AI applications and small-team or workstream leadership. You will use Python, machine learning libraries, vector databases, cloud platforms, and REST APIs. The work includes production-ready solutions, AI governance, model safety, and prompt engineering. Key Responsibilities:

Design, develop, and deploy Generative AI applications Build RAG pipelines with hybrid retrieval and vector search Fine-tune open-source and proprietary LLMs Integrate solutions with cloud-native GenAI services Mentor engineers and contribute to code reviews Requirements:

Five years of software engineering or data science experience Two to three years with Generative AI or LLM systems Bachelor’s degree in Computer Science, AI/ML, or related field Robust Python and ML or AI library experience Commuting distance to Mississauga or willingness to relocate Apply Generative AI, Python, LLM, and RAG expertise while leading production-focused solutions for Infosys in Ontario.

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📌 Generative AI Engineering Lead (Winnipeg)
🏢 Infosys
📍 Winnipeg