Generative Ai Engineering Lead
Infosys
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 applicationsBuild RAG pipelines with hybrid retrieval and vector searchFine-tune open-source and proprietary LLMsIntegrate solutions with cloud-native GenAI servicesMentor engineers and contribute to code reviewsRequirements:
Five years of software engineering or data science experienceTwo to three years with Generative AI or LLM systemsBachelor’s degree in Computer Science, AI/ML, or related fieldStrong Python and ML or AI library experienceCommuting distance to Mississauga or willingness to relocateApply Generative AI, Python, LLM, and RAG expertise while leading production-focused solutions for Infosys in Ontario.
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Design, develop, and deploy Generative AI applicationsBuild RAG pipelines with hybrid retrieval and vector searchFine-tune open-source and proprietary LLMsIntegrate solutions with cloud-native GenAI servicesMentor engineers and contribute to code reviewsRequirements:
Five years of software engineering or data science experienceTwo to three years with Generative AI or LLM systemsBachelor’s degree in Computer Science, AI/ML, or related fieldStrong Python and ML or AI library experienceCommuting distance to Mississauga or willingness to relocateApply Generative AI, Python, LLM, and RAG expertise while leading production-focused solutions for Infosys in Ontario.
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Vacancy posted 1 hour ago
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