Senior AI Engineer
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Key skills for this role
About the Role
We are seeking a Senior AI Engineer to drive the development and implementation of AI use cases across the organization. The role involves leading technical execution of high-impact projects, designing Generative AI solutions, and mentoring others.
Key Skills for This Role
Responsibilities
- Own the execution of AI initiatives from ideation and data preparation to deployment and scaling
- Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real world automation and intelligence challenges
- Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production ready data
- Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance
Requirements
- Bachelor’s degree in computer science, artificial intelligence, IT or a similar field
- +3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field
- Proven expertise in Generative AI (LLMs, RAG, and prompt engineering)
- Strong foundation in Traditional ML (classification, regression, and predictive analytics)
- Expert proficiency in Python and experience with modern data science libraries
- Experience working within cloud ecosystems and data warehouses to manage large scale datasets and orchestrate data flows
- A track record of moving projects from prototype to production, ensuring they are scalable and reliable for end users
- Strong understanding of containerization (e.g., Docker) and AI deployment lifecycles is a significant advantage
Full Job Posting
Job Description
- Drive the development and implementation of AI use cases across our organization.
- Lead the technical execution of high impact projects, transforming business requirements into scalable AI features for both internal and external products.
- Operate with a high degree of autonomy, owning the full development lifecycle.
- Lead projects technically, set high architectural standards, and mentor others.
Key Responsibilities
- Own the execution of AI initiatives from ideation and data preparation to deployment and scaling.
- Design and optimize Generative AI solutions, including RAG architectures and LLM integrations, to solve real world automation and intelligence challenges.
- Design and manage efficient data flows and pipelines to ensure AI models are backed by robust, production ready data.
- Take ownership of the technical roadmap for specific use cases, ensuring best practices in code quality, system reliability, and performance.
Key Requirements
- Bachelor’s degree in computer science, artificial intelligence, IT or a similar field.
- +3 years of professional experience in AI Engineering, Machine Learning, or a closely related software engineering field.
- Proven expertise in Generative AI (LLMs, RAG, and prompt engineering).
- Strong foundation in Traditional ML (classification, regression, and predictive analytics).
- Expert proficiency in Python and experience with modern data science libraries.
- Experience working within cloud ecosystems and data warehouses to manage large scale datasets and orchestrate data flows.
- A track record of moving projects from prototype to production, ensuring they are scalable and reliable for end users.
- Strong understanding of containerization (e.g., Docker) and AI deployment lifecycles is a significant advantage.
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