Intermediate Ai Software Engineer
1 day ago
Winnipeg MB, Winnipeg Census Division, MB; Manitoba, Canada
Softchoice
Full-time
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Build AI applications with LLMs and RAG as an intermediate Software Engineer at Softchoice. Work locations include Toronto, Ottawa, and Vancouver.
This intermediate-level role delivers complex components and defined technical workstreams from design through deployment and operational support. You will translate requirements into secure, scalable software while moving AI concepts and proofs of concept into production. The work includes backend services, APIs, integrations, and cloud-native components.
Key Responsibilities
Design, build, test, deploy, and support production-ready AI applicationsTranslate requirements into component designs and implementation plansDevelop solutions using LLMs, RAG, and semantic searchBuild secure backend services, APIs, and enterprise integrationsProductionize solutions through testing, observability, and monitoringRequirements:
Ability to deliver defined technical workstreams independentlyExperience with document and data processingKnowledge of embeddings, retrieval, prompting, and groundingUnderstanding of cloud-native components and enterprise systemsAbility to collaborate with customers, architects, and engineersApply AI engineering expertise across LLMs, RAG, backend services, and cloud-native software at Softchoice.
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This intermediate-level role delivers complex components and defined technical workstreams from design through deployment and operational support. You will translate requirements into secure, scalable software while moving AI concepts and proofs of concept into production. The work includes backend services, APIs, integrations, and cloud-native components.
Key Responsibilities
Design, build, test, deploy, and support production-ready AI applicationsTranslate requirements into component designs and implementation plansDevelop solutions using LLMs, RAG, and semantic searchBuild secure backend services, APIs, and enterprise integrationsProductionize solutions through testing, observability, and monitoringRequirements:
Ability to deliver defined technical workstreams independentlyExperience with document and data processingKnowledge of embeddings, retrieval, prompting, and groundingUnderstanding of cloud-native components and enterprise systemsAbility to collaborate with customers, architects, and engineersApply AI engineering expertise across LLMs, RAG, backend services, and cloud-native software at Softchoice.
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