Top Artificial Intelligence Jobs in Chennai

The Associate Software Engineer II translates business problems into technical specifications, designs Salesforce solutions, mentors teams, and ensures effective delivery in a scale-agile environment.

As a Senior Staff Software Engineer at Coinbase, you will lead AI infrastructure projects, write high-quality code in Python and Golang, mentor team members, and enhance system reliability and scalability.

As Engineering Manager for the AI Platform at Coinbase, you'll lead a team in architecting and developing a robust platform for LLM use cases while mentoring engineers and optimizing ML infrastructure.

As a Staff Software Engineer, you'll develop AI/ML-integrated applications, lead technical architecture, mentor teams, and ensure system quality.

As a Senior Software Engineer, you will build AI-powered solutions, develop reusable components, mentor teammates, and ensure the performance of backend services.

The Senior Software Engineer will innovate in Generative AI and develop high-performance ML solutions, leading full software development lifecycles and collaborating with cross-functional teams.

Lead the design of distributed systems and ML infrastructure, drive innovation in AI and Big Data, mentor engineers, and ensure high-performance solutions.

As a Senior Software Engineer, you'll design and maintain big data systems and AI solutions, optimize microservices, and mentor junior engineers.

The Senior Engineering Manager will lead innovation in AI-driven networking solutions, manage engineering teams, and oversee the full software development lifecycle, with a focus on Big Data and machine learning technologies.

Design and maintain scalable systems and ML services, optimize microservices, integrate Big Data and Generative AI solutions, and mentor junior engineers.

The role involves leading software development for AI-driven network management, innovating ML solutions and collaborating on real-time ML platforms.

As a Tech Lead in the AI Agents Team, you will develop AI agents and integrate machine learning components to enhance customer experiences. Responsibilities include designing AI solutions, optimizing performance, and collaborating with cross-functional teams, with an emphasis on ethics and quality assurance.

Design and develop advanced AI solutions leveraging Workato's platform, collaborate with customers, and monitor AI system performance to enhance integrations.

Develop and scale Android/iOS mobile applications using AI tools and innovative practices, collaborating within a global team to shape future products.

Join the Mobile Engineering Team to build and scale AI-driven Android and iOS applications, leveraging advanced development tools and collaborating within a global team.

Lead a team responsible for building AI-driven systems, design ML models, ensure technical excellence, and foster a collaborative culture while driving complex projects in renewable energy.

Lead a team to develop AI-driven systems, design ML models, and establish best practices while fostering a high-performance culture.

Design and implement AI workflows, develop APIs, collaborate with teams, deploy cloud models, and ensure responsible AI practices.

Lead the design and implementation of advanced AI-driven systems, integrating agentic AI with enterprise systems while ensuring security and scalability.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Join Mitratech's AI team to develop secure and scalable software solutions. Responsibilities include writing clean code, participating in agile processes, and mentoring teammates.

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

Develop AI-powered full-stack applications, integrating modern technologies and cloud-native tools, while collaborating with cross-functional teams.

Lead the architecture, implementation, and scaling of globally distributed systems for AI/ML and HPC. Drive reliability strategies and innovation at NVIDIA, mentoring global teams and contributing to cross-organizational efforts.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.