Overview
Build AI platforms leveraging LLMs and other Gen AI capabilities, with fullstack design for portal integrations, enhancements and automation requests, focused on privacy, security and fairness.
What you'll do
- Design, implement and deploy scalable and efficient AI solutions with a focus on privacy, security and fairness.
- Build React JS based user interfaces, a robust set of APIs enabling platform integration, and a flexible Machine Learning and document processing pipeline.
- Work directly with business partners and IT team members to understand desired system requirements and deliver effective solutions within the Agile methodology.
- Participate in all phases of the development and system support life cycle.
- Provide design solutions for portal integrations, enhancement and automation requests.
- Establish, improve and maintain proactive monitoring and management of supported assets, assuring performance, availability, security and capacity.
What you'll need
- 2+ years of total experience.
- 1+ years of experience in Fullstack development (Frontend, Backend and Cloud).
- Degree in Computer Science, Artificial Intelligence, or a related field.
- Experience with the AI development lifecycle.
- Strong prompting skill for AI driven development.
- Experience with Domain-Driven Design, with construction bolts, not an afterthought.
- Experience with Test Driven Development.
- Deep understanding of token economics.
- Experience using an AI driven IDE with skills and evaluations.
- Exceptional communication skills and proven experience working with diverse teams of technical architects, business users and IT areas across all phases of the software development life cycle.
- Highly technical, hands-on, motivated and collaborative.
Nice to have
- Familiarity with cloud-based platforms and services such as AWS, GCP or Azure, preferably AWS.
- Skills: Python, JavaScript, Go, React.
- Skills: AWS Sagemaker, Amazon ECS, GitHub pipelines and actions, MLOps.
- Skills: Transformer architecture, Mamba architecture, Jev and SLM's.
- Skills: GPU architecture.
Details
- Full-time position, working 40 hours per week.
- Expected overlap with US hours as appropriate.
- Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
Read the full description and apply on the company’s own careers page.