Top Artificial Intelligence Jobs in Delhi

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The Senior AI Infrastructure & Platform Engineer will build and optimize GPU-based AI infrastructures, manage deployments, and collaborate with data science teams to ensure efficient operations.

Lead GoDaddy's Finance AI and Automation strategy, overseeing architecture, compliance, and change management to drive financial transformation.

The Staff Engineer will develop AI applications, design technical solutions, review code, ensure best practices, and lead integration scenarios.

The Senior Staff Engineer will develop AI applications, design technical solutions, integrate systems, and ensure best practices in a dynamic Agile environment.

The Senior Staff Engineer will lead AI application development, designing solutions, and translating client requirements while ensuring quality code and technology integration across projects.

The Senior Staff Engineer will lead AI application development, focusing on Generative AI, .NET backend development, and cloud-based architectures. Responsibilities include coding, technical design, and overseeing project implementation while ensuring best practices in scalability and security are met.

The role involves developing Generative AI applications, API design, and cloud-native solutions, while overseeing architecture and technical guidelines.

The Senior Staff Engineer will develop AI applications, design technical solutions, and ensure best practices in software development while collaborating with clients and teams.

The Senior Python Engineer will design and build backend systems for Voice AI, collaborate with multiple teams, optimize performance, and maintain CI/CD pipelines.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

Join the Content Engineering team to leverage AI applications for document understanding and develop LLM-based solutions for data extraction. Responsibilities include debugging, monitoring, and ensuring high accuracy in processing large volumes of content.

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

The Technical Writer will develop and maintain technical documentation, collaborate with teams, and enhance user experience through clear content on AI/ML products.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

This role involves developing multi-agent AI applications, optimizing LLMs, integrating tools with Snowflake, and ensuring performance and reliability through testing and observability.

The AI Engineer will design and deploy machine learning models, optimize performance, support AI R&D, and ensure data quality for model training.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.