Role: Sr AI Developer
Location: Toronto (onsite 4 days weekly)
Experience: 7 Years needed
Job summary:
We are seeking a highly skilled Senior AI Developer to join our technology team and drive the acceleration of AI-driven solutions. The ideal candidate should have expertise in AI/ML large language model (LLM) integration and workflow automation combined with hands-on experience in Java Spring Framework. This role will focus on designing implementing and scaling AI agents and workflows to enhance our product capabilities and operational efficiency.
Experience: 7 years
Top 3 Must Haves:
1. Lead the design and development of AI-powered solutions including AI agents chatbots and intelligent automation workflows.
2. Integrate LLMs (e.g. GPT Cohere or open-source models) into existing Java/Spring-based applications to enable advanced NLP decision-making and predictive analytics.
3. Experience with MLOps CI/CD pipelines and model deployment in production.
Responsibilities:
Lead the design and development of AI-powered solutions including AI agents chatbots and intelligent automation workflows.
Integrate LLMs (e.g. GPT Cohere or open-source models) into existing Java/Spring-based applications to enable advanced NLP decision-making and predictive analytics.
Collaborate with cross-functional teams (developers data scientists product managers) to define AI strategy roadmap and technical requirements.
Optimize AI workflows for scalability performance and cost-efficiency leveraging Oracle databases for data management and retrieval.
Mentor junior developers and foster a culture of innovation in AI/ML practices.
Stay updated on emerging AI technologies and evaluate their applicability to business challenges.
Experience with MLOps CI/CD pipelines and model deployment in production.
Knowledge of microservices architecture and event-driven systems.
Contributions to open-source AI projects or publications in AI research.
Ensure compliance with data privacy security and ethical AI standards.
Role: Sr AI Developer Location: Toronto (onsite 4 days weekly) Experience: 7 Years needed Job summary: We are seeking a highly skilled Senior AI Developer to join our technology team and drive the acceleration of AI-driven solutions. The ideal candidate should have expertise in AI/ML large languag...
Role: Sr AI Developer
Location: Toronto (onsite 4 days weekly)
Experience: 7 Years needed
Job summary:
We are seeking a highly skilled Senior AI Developer to join our technology team and drive the acceleration of AI-driven solutions. The ideal candidate should have expertise in AI/ML large language model (LLM) integration and workflow automation combined with hands-on experience in Java Spring Framework. This role will focus on designing implementing and scaling AI agents and workflows to enhance our product capabilities and operational efficiency.
Experience: 7 years
Top 3 Must Haves:
1. Lead the design and development of AI-powered solutions including AI agents chatbots and intelligent automation workflows.
2. Integrate LLMs (e.g. GPT Cohere or open-source models) into existing Java/Spring-based applications to enable advanced NLP decision-making and predictive analytics.
3. Experience with MLOps CI/CD pipelines and model deployment in production.
Responsibilities:
Lead the design and development of AI-powered solutions including AI agents chatbots and intelligent automation workflows.
Integrate LLMs (e.g. GPT Cohere or open-source models) into existing Java/Spring-based applications to enable advanced NLP decision-making and predictive analytics.
Collaborate with cross-functional teams (developers data scientists product managers) to define AI strategy roadmap and technical requirements.
Optimize AI workflows for scalability performance and cost-efficiency leveraging Oracle databases for data management and retrieval.
Mentor junior developers and foster a culture of innovation in AI/ML practices.
Stay updated on emerging AI technologies and evaluate their applicability to business challenges.
Experience with MLOps CI/CD pipelines and model deployment in production.
Knowledge of microservices architecture and event-driven systems.
Contributions to open-source AI projects or publications in AI research.
Ensure compliance with data privacy security and ethical AI standards.
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