Software Engineer - Frontend

1 Month ago • 4 Years + • Artificial Intelligence

Job Summary

Job Description

The AzureML Experiences Team at Microsoft is seeking a Software Engineer II to contribute to the development of the AI Studio portal and Software Development Kits (SDKs). This role involves collaborating with a team of front-end engineers to scale LLM applications for production use, ensuring they meet enterprise security and compliance requirements. Responsibilities include identifying requirements, designing solutions, developing software using languages like C#, TypeScript, JavaScript, and React, and collaborating with partner teams. The ideal candidate will have 4+ years of experience in front-end development and a passion for AI and machine learning. This position offers the potential for career growth into a management role.
Must have:
  • 4+ years front-end experience
  • JavaScript, TypeScript, React
  • C# experience
  • Agile development
  • CI/CD
  • Collaborate with teams
  • Develop and maintain software
Good to have:
  • Experience with distributed systems
  • Azure familiarity
  • Machine learning passion
  • Large-scale project experience
Perks:
  • Industry leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investments
  • Maternity/paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Within AI Platform, the Azure ML team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning models

 

Our company is heavily investing in Artificial Intelligence (AI) as a significant growth opportunity, with Bing Chat and numerous Large Language Model (LLM) driven innovations occurring across and disrupting various industries

 

AzureML is dedicated to creating a platform that simplifies the development of cutting-edge applications on top of LLMs for both first-party Microsoft teams and third-party customers. We recently launched the public preview of AI Studio portal and the code-first solution Gen AI SDK to democratize AI technology, making it accessible to enterprises, developers, and data scientists

 

Our team, the AzureML Experiences Team, is at the forefront of ensuring these products excel from an engineering standpoint, while introducing and enhancing vital capabilities that make LLM consumption frictionless for production use, meeting enterprise security, isolation, and compliance requirements

 

We are committed to fostering a culture of inclusion, collaboration, creativity, and meritocracy, valuing and respecting the unique contributions of each team member. Diverse perspectives are crucial for driving innovation and building cutting-edge AI technologies

 

We are seeking a Software Engineer II to join our AzureML Experiences Team. In this role, you will collaborate with a group of front-end engineers currently developing the AI Studio portal and Software Development Kits (SDKs) to scale LLM applications for production use

 

We are searching for motivated, result-oriented, and collaborative individuals with a drive for results. You will work alongside talented engineers who enjoy solving intriguing problems, embracing open source, and comfortably navigating technologies and stacks

 

Join our team and help make AI accessible for addressing challenging global issues. This role has the potential to evolve into a management position. Apply now!

 

Azure AI Studio deep dive demo https://youtu.be/Qes7p5w8Tz8?si=rNjFBsLZLnlhcBU6

Qualifications

Required:

  • Bachelor’s degree in computer science or related technical discipline, and 4+ years of technical engineering experience with coding in languages including, but not limited to, C#,TypeScript, JavaScript, React, or Python, or equivalent experience
  • 1+ years of working experience in front-end development using JavaScript, TypeScript, Python, React

Preferred:

  • 1+ years of experience with distributed systems design and implementation
  • Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
  • Passion for machine learning, artificial intelligence, and data science
  • Experience working on large-scale projects or applications
  • Effective communication skills and ability to collaborate with diverse remote teams
  • Quick learner with a passion for solving complex and exciting problems
  • Familiarity with Azure is a plus

 

#IDCAIPlatformHiring

 

Other Requirements

 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

 

#Pipelines, Azure AI services 

 

 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities

  • Identify requirements, scope solutions, estimate work, and schedule deliverables
  • Apply engineering principles to establish robust and maintainable architecture and designs
  • Promote and drive the adoption of good coding standards and patterns · Develop software using languages such as C#, TypeScript, JavaScript, React, and others
  • Collaborate with partner teams to comprehend, define, enhance, and develop AzureML capabilities · Respond, resolve, and integrate customer feedback with agility and dedication
  • Lead by example, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incident
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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