In this role you will focus on the following key areas:- Developing high quality software systems according to the specifications of product and engineering leadership- Designing developing and maintaining applications across the frontend and backend- Implementing generative AI capabilities into content tools- Optimizing performance scalability and security of full stack applications- Working with multi-functional teams to integrate with multiple enterprise systems - Triaging issues and using debugging tools and skills to identify solutions - Maintaining expertise in full stack development and generative AI
- 8 years of professional software engineering experience
- Strong experience with machine learning integration particularly LLMs computer vision and voice technologies.
- Ability to design and build AIML-driven training applications incorporating multi-modal inputs such as text image and voice.
- Proficiency in cloud-based architectures (e.g. AWS GCP Azure) for deploying scalable AIML systems.
- Familiarity with MLOps standard methodologies including model training deployment and monitoring.
- Experience with modern front-end (JavaScript/TypeScript React or similar frameworks) and back-end ( Python Java or similar) frameworks to support interactive and responsive AIML applications.
- Deep understanding of data pipelines data privacy and security compliance for handling sensitive training data.
- Solid coding fundamentals and a thirst to improve and challenge yourself
- Excellent communication and soft skills
- Ability to work on a highly collaborative cross-functional team
- Passion for high quality user experiences and an unmatched attention to detail
- BS in Computer Science or equivalent field
- Experience with RAG pipelines and prompt engineering
- Experience deploying AI features into production at scale
- Background in personalization/adaptive learning technologies
In this role you will focus on the following key areas:- Developing high quality software systems according to the specifications of product and engineering leadership- Designing developing and maintaining applications across the frontend and backend- Implementing generative AI capabilities into ...
In this role you will focus on the following key areas:- Developing high quality software systems according to the specifications of product and engineering leadership- Designing developing and maintaining applications across the frontend and backend- Implementing generative AI capabilities into content tools- Optimizing performance scalability and security of full stack applications- Working with multi-functional teams to integrate with multiple enterprise systems - Triaging issues and using debugging tools and skills to identify solutions - Maintaining expertise in full stack development and generative AI
- 8 years of professional software engineering experience
- Strong experience with machine learning integration particularly LLMs computer vision and voice technologies.
- Ability to design and build AIML-driven training applications incorporating multi-modal inputs such as text image and voice.
- Proficiency in cloud-based architectures (e.g. AWS GCP Azure) for deploying scalable AIML systems.
- Familiarity with MLOps standard methodologies including model training deployment and monitoring.
- Experience with modern front-end (JavaScript/TypeScript React or similar frameworks) and back-end ( Python Java or similar) frameworks to support interactive and responsive AIML applications.
- Deep understanding of data pipelines data privacy and security compliance for handling sensitive training data.
- Solid coding fundamentals and a thirst to improve and challenge yourself
- Excellent communication and soft skills
- Ability to work on a highly collaborative cross-functional team
- Passion for high quality user experiences and an unmatched attention to detail
- BS in Computer Science or equivalent field
- Experience with RAG pipelines and prompt engineering
- Experience deploying AI features into production at scale
- Background in personalization/adaptive learning technologies
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