Senior Generative Ai Developer
2 days ago
Winnipeg MB, Winnipeg Census Division, MB; Manitoba, Canada
Pathlion
Full-time
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Design enterprise Generative AI applications and intelligent agents as a Senior Data Science Developer focused on reusable AI solutions.
This senior role develops priority business use cases with large language models, retrieval-augmented generation, agentic AI, and machine learning. You will create production-ready capabilities that reduce one-off solutions and external resource reliance. The work combines software engineering, enterprise integration, and responsible solution design.
Key Responsibilities
Design and implement Generative AI applications and intelligent agentsBuild reusable AI components, services, APIs, and solution patternsDevelop prototypes and proofs of concept for business use casesIntegrate AI with enterprise data, applications, APIs, and workflowsEvaluate and improve solution performance, reliability, accuracy, and scalabilityRequirements: Experience with large language models and retrieval-augmented generationKnowledge of agentic AI, machine learning, and related techniquesSoftware engineering practices including testing and version controlUnderstanding of monitoring, documentation, CI/CD, and performance optimizationAbility to incorporate privacy, security, governance, and Responsible AIApply senior development expertise across Generative AI, intelligent agents, enterprise integration, and scalable AI engineering practices. #J-18808-Ljbffr
This senior role develops priority business use cases with large language models, retrieval-augmented generation, agentic AI, and machine learning. You will create production-ready capabilities that reduce one-off solutions and external resource reliance. The work combines software engineering, enterprise integration, and responsible solution design.
Key Responsibilities
Design and implement Generative AI applications and intelligent agentsBuild reusable AI components, services, APIs, and solution patternsDevelop prototypes and proofs of concept for business use casesIntegrate AI with enterprise data, applications, APIs, and workflowsEvaluate and improve solution performance, reliability, accuracy, and scalabilityRequirements: Experience with large language models and retrieval-augmented generationKnowledge of agentic AI, machine learning, and related techniquesSoftware engineering practices including testing and version controlUnderstanding of monitoring, documentation, CI/CD, and performance optimizationAbility to incorporate privacy, security, governance, and Responsible AIApply senior development expertise across Generative AI, intelligent agents, enterprise integration, and scalable AI engineering practices. #J-18808-Ljbffr