Senior Associate 1 - Canada DandA AI Engg

 Roles & responsibilities 
Here are some of the key responsibilities of an AI Engineer :

Design and develop AI Application with strong frontend and backend skills. Deploy, maintain, and support application across all the environments, ensuring seamless integration with front-end and back-end systems.
Ability to scale up the deployed applications using container services, strong experience in building the pipeline to meet the performance benchmarks.
Conduct business analysis to gather requirements and develop scripts, and pipelines that meet technical specifications for business needs, utilizing both server-side and client-side technologies.
Develop real-time data ingestion and stream-analytic solutions utilizing technologies such as Python (preferably Spark clusters), and cloud platforms to support AI applications. Utilize multiple programming languages and tools, including Python Java, and frontend frameworks, preferably Angular to build prototypes for AI models and evaluate their effectiveness and feasibility.
Develop application systems that adhere to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack.
Provide system support as part of a team rotation, collaborating with other engineers to resolve issues and enhance system performance, including both front-end and back-end components.
Operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring they align with organizational needs and user interfaces.
Ensure compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects.
Understand and follow the company’s software development lifecycle to effectively develop, deploy, and deliver AI solutions.
Design and develop AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications. Lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members.
 

Responsibilities

 Roles & responsibilities 
Here are some of the key responsibilities of an AI Engineer :

Design and develop AI Application with strong frontend and backend skills. Deploy, maintain, and support application across all the environments, ensuring seamless integration with front-end and back-end systems.
Ability to scale up the deployed applications using container services, strong experience in building the pipeline to meet the performance benchmarks.
Conduct business analysis to gather requirements and develop scripts, and pipelines that meet technical specifications for business needs, utilizing both server-side and client-side technologies.
Develop real-time data ingestion and stream-analytic solutions utilizing technologies such as Python (preferably Spark clusters), and cloud platforms to support AI applications. Utilize multiple programming languages and tools, including Python Java, and frontend frameworks, preferably Angular to build prototypes for AI models and evaluate their effectiveness and feasibility.
Develop application systems that adhere to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack.
Provide system support as part of a team rotation, collaborating with other engineers to resolve issues and enhance system performance, including both front-end and back-end components.
Operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring they align with organizational needs and user interfaces.
Ensure compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects.
Understand and follow the company’s software development lifecycle to effectively develop, deploy, and deliver AI solutions.
Design and develop AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications. Lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members.

Mandatory  technical & functional skills
Strong programming skills on Python/R, Java and hands on experience in building backend services with frameworks like FastAPI, Flask, Django.
Experience with prompt engineering and building AI applications using frameworks like LangChain/LlamaIndex /LlamaPrase/LlamaCloud/Semantic Kernel etc.
Developed analytical/modeling solutions using variety of commercial and open-source tools. Strong experience with Machine learning, Deep Learning algorithms.
Full-Stack Development: Proficiency in front-end and back-end technologies, including JavaScript frameworks (e.g., React, Angular), to build and integrate user interfaces with AI models and data solutions.
 

Qualifications

 This role is for you if you have  the below
Educational qualifications 
Bachelor’s / Master’s degree in Computer Science

Work experience
3-5 years of experience (min 2 years of experience in AI applications)