Job Details:

Job Description: 

Generative AI technology provides many advantages for engineers, support teams, developers, and DevOps professionals looking to boost productivity. This type of AI offers a secure, scalable architecture that can connect to diverse data sources and models which can address wide range of use cases. For those interested in working with cutting-edge AI, there are exciting opportunities to apply generative models to streamline workflows and enhance productivity. The role will involve collaborating with cross-functional teams to identify business needs and implement customized solutions. You will have the chance to push boundaries in AI research and development while delivering tangible value. If you are passionate about leveraging technology to solve problems, this is a dynamic chance to drive innovation.This role will be part of the NEX SW SED for creating the next generation Generative AI productivity tool for Intel. For an impactful workflow we need an impactful userexperiece. Hence we are looking for passionate front end developer to enable these Generative AI workflows to users In this role, you will Design, Develop and Deploy applications based on ReactJS, Angular JS as front-end, Python/NodeJS as a backend and HTML. You are expected to know databases like MongoDB and InfluxDB to perform these tasks. You're a creative and technically skilled individual responsible for bringing great user experience and design to life. You create reusable, extensible, flexible, high-performing web applications from front end to back end. This position is for you if you Have experience in Design, Development and Deployment of Python or NodeJS web and client applications Have deep knowledge of various design patterns Exposure to docker, micro-services would be a big plus. Are passionate developer who is committed to deliver high-quality solutions/products. Are a problem solver and good at troubleshooting complex problems to find the root cause and provide solution. An ideal candidate will display the following traits: Disciplined process management, problem solving skills, and attention to quality and detail. Team player and works well with development/ product engineering teams. Expertise to get results across multiple groups and disciplines. Collaborate and Interface with external vendors Good communication skills, proficiency in verbal and written English Extensive experience with software development lifecycle (SDLC) including Agile methodologies

Qualifications:

Master's Degree in software engineering, Information Technology, Computer Science, or related.

Must have knowledge on Cloud native application development, Understanding of Microservices, containers, Dockers , Kubernetes, Container orchestration
Extensive knowledge of software development and its technologies.
Strong knowledge of HTML5, Javascript, ReactJS, Angular, Rest API, Python, NodeJS, Databases Influx DB, Mongo DB and design patterns.
Understanding of container and virtualization technologies is a plus
Contributions to OpenSource communities is a plus

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

The Network & Edge Group brings together our network connectivity and edge into a business unit chartered to drive technology end to end product leadership. It's leadership Ethernet, Switch, IPU, Photonics, Network and Edge portfolio is comprised of leadership products critically important to our customers.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.