Build, profile and optimize our training and inference framework.

Build and deploy enterprise-grade Voice, Chat AI agents and AI Copilot.

Lead the design, development, and deployment of next-generation AI agents.

Build and maintain scalable, auditable data infrastructure that powers accurate financial information.

Build backend services to support LLM integration, inference orchestration, and data flow.

Designs and deploys AI-driven workflows to automate GTM processes and improve sales productivity.

Assist research scientists with designing and implementing experiments, processing datasets, and developing new algorithms.

Develop full-stack AI applications, leveraging LLMs and GenAI technologies.

Design and develop scalable intelligent agents using LLMs, Vertex AI Agents, and GCP.

Design and optimize machine learning models for efficient inference through pre-training, post-training, and quantization-aware training.

Designs and implements production-grade AI systems for web experiences and marketing workflows.

Design and deploy AI agents using Python and agentic frameworks to integrate into financial product.

Designs, builds, and scales AI agents using Python and modern frameworks to integrate into financial products.

Design and deploy AI agents using Python and agentic frameworks for seamless integration into various use cases.

The role involves contributing to the development and improvement of a scientific diagramming tool.

Develop and productionize AI-powered features, integrating LLMs and modern AI techniques.

Develop and execute machine learning experiments to identify and mitigate security vulnerabilities.

Deploy and customize AI solutions for healthcare clients, rapidly prototyping and iterating on complex projects.

Develop and deploy LLMs, vision models, and NLP solutions for healthcare applications.

Develop and deploy surrogate models to accelerate physics simulations and validate their performance.