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 Read more