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.

We are looking for a skilled AI Full Stack Developer with 4-7 years of experience to join our innovative team. You will work on building state-of-the-art AI applications utilizing advanced techniques like large language models, neural networks, and natural language processing.

As a AI Full Stack Developer, you will:

Collaborate with cross-functional teams to conceptualize, build, and launch AI-powered products and features
Design, develop, and integrate scalable AI models and systems, leveraging frameworks like PyTorch and TensorFlow
Continuously train, evaluate, and optimize AI models to improve performance
Architect and implement robust data pipelines to support model development and deployment
Develop intuitive interfaces and UX to deliver seamless AI-powered experiences
Monitor and maintain AI systems in production to ensure optimal performance
Stay up-to-date on the latest AI/ML advancements and identify opportunities to innovate
Mentor and share knowledge with teammates to promote AI best practices
We are looking for someone passionate about AI/ML with hands-on experience in:
Building, deploying, and maintaining real-world AI applications
Fine-tuning and optimizing large language models like GPT-3
Conversational AI and natural language processing
Data engineering and pipeline development
This is a unique opportunity to join a team at the forefront of AI innovation. If you have the skills and passion for this role, we want to hear from you.

Qualifications:

B.Tech/M Tech. Computer Science with 3-7 years of software development experience in Artificial Intelligence

Must have knowledge on Cloud native application development, Understanding of Microservices, containers, Dockers , Kubernetes, Container orchestration
Experience designing and building AI applications
Strong programming knowledge in Python and parallel programming skills
Model development experience preferred
Experience with embeddings and vector search platforms
Experience with prompt engineering and using augmented data with LLMs
Proficiency in working with UNIX/Linux environments and command-line tools
Experience in Llama, APIs, API development
Good working project experience in cloud computing ie, AWS/ Azure/GCP cloud Services
Experience working on ML services like AWS Bedrock or Azure

          

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.