AI Engineer (40LPA Base + ESOPs)
Overview:
AI is pivotal to the transformation of the Service and Operations Management space. As
Our AI Engineer you’ll play a critical role in developing platforms and solutions that
transform how work is done in this space. You’ll be responsible for collaborating with other
members of the RD organisation to deliver AI software in the form of data engineering,
prompt engineering, algorithms and APIs. You’ll be measured on your ability to produce
production ready code and create rapid prototyping opportunities presented to relevant
stakeholders. As a senior engineer with the team, you’ll also maintain high code quality and
perform code reviews. You’ll also collaborate with DevOps and MLOps to maintain a
modern, well architected and well instrumented deployment and testing pipeline.
Responsibilities:
Collaborates with other members within the Research Development department to
determine functional and non-functional requirements for proposed software
adjustments or extensions that are related to artificial intelligence and incorporate
into A.I. RFCs
Assists product management to develop high-level product specifications that are
related to artificial intelligence with attention to system integration and feasibility
Develops software adjustments and extensions that meets the agreed on
specifications and requirements and adheres to coding standards
Provide technical guidance and coaching related to artificial intelligence to other
members within the Research Development department
Ensure that artificial intelligence software use within our services meets all
requirements of quality, security, modifiability, extensibility etc.
Continuously improve the artificial intelligence software of our services by
actively participating in its development
Requirements:
Proven ability to develop AI features via LLM
Proven ability to develop, deploy, maintain and enhance machine learning models
Proven ability to develop and maintain corresponding data systems such as feature
stores and data pipelines for AI and machine learning
Proven ability to translate product requirements into technical specifications
Experience in a production engineering environment
Apply Now
AI is pivotal to the transformation of the Service and Operations Management space. As
Our AI Engineer you’ll play a critical role in developing platforms and solutions that
transform how work is done in this space. You’ll be responsible for collaborating with other
members of the RD organisation to deliver AI software in the form of data engineering,
prompt engineering, algorithms and APIs. You’ll be measured on your ability to produce
production ready code and create rapid prototyping opportunities presented to relevant
stakeholders. As a senior engineer with the team, you’ll also maintain high code quality and
perform code reviews. You’ll also collaborate with DevOps and MLOps to maintain a
modern, well architected and well instrumented deployment and testing pipeline.
Responsibilities:
Collaborates with other members within the Research Development department to
determine functional and non-functional requirements for proposed software
adjustments or extensions that are related to artificial intelligence and incorporate
into A.I. RFCs
Assists product management to develop high-level product specifications that are
related to artificial intelligence with attention to system integration and feasibility
Develops software adjustments and extensions that meets the agreed on
specifications and requirements and adheres to coding standards
Provide technical guidance and coaching related to artificial intelligence to other
members within the Research Development department
Ensure that artificial intelligence software use within our services meets all
requirements of quality, security, modifiability, extensibility etc.
Continuously improve the artificial intelligence software of our services by
actively participating in its development
Requirements:
Proven ability to develop AI features via LLM
Proven ability to develop, deploy, maintain and enhance machine learning models
Proven ability to develop and maintain corresponding data systems such as feature
stores and data pipelines for AI and machine learning
Proven ability to translate product requirements into technical specifications
Experience in a production engineering environment