Top Artificial Intelligence Jobs in Chennai

The Senior Applications Engineer will develop Edge AI applications for embedded systems, validate designs, and collaborate with teams for customer solutions.

The Senior Engineer will develop and validate Edge AI/ML solutions, optimize models for embedded hardware, and deliver high-quality demonstrations for customers.

Develop embedded AI/ML applications for Microchip platforms, create demos, validate designs, and provide technical support to customers. Collaborate with teams on cutting-edge AI technologies.

The role involves designing and operating secure AI services, focusing on retrieval-augmented generation, with responsibilities including system development, production support, and collaboration with cross-disciplinary teams.

The Senior Staff Engineer will design and manage AI infrastructure, automate solutions, and ensure operational reliability for enterprise AI platforms. Responsibilities include provisioning AI platform components and implementing Infrastructure-as-Code practices.

As a Full-Stack Software Engineer, develop backend systems and frontend interfaces for the Agentic AI Platform, collaborating across teams to enhance AI technologies.

As a Full-Stack Software Engineer, you'll develop both backend systems and frontend interfaces for AI agents, collaborating with team members to solve technical problems. Roles include implementing robust backend services, building user-facing features, and contributing to technical design discussions, all while maintaining high-quality code standards.

The role involves designing and deploying AI solutions, focusing on LLMs, chatbot development, and document processing workflows, while collaborating with cross-functional teams.

The AI Associate will develop AI models and solutions, translate business challenges into data-driven solutions, and collaborate with team members across functions.

Design and build AI-powered systems utilizing ML and generative AI techniques, manage data pipelines, and ensure seamless integration with collaboration from cross-functional teams.

The AI Engineer will design, build, and deploy intelligent systems leveraging machine learning and generative AI, collaborating with cross-functional teams throughout the AI solution lifecycle.

Seeking a Senior AI Engineer to develop cloud-native applications using AWS and Generative AI for enhancing developer experience and scalability, while mentoring teams and ensuring accessibility in design practices.

The Principal Software Engineer will lead the development of scalable software systems with a focus on Generative AI, mentoring team members and resolving technical challenges.

As a Solution Engineer, you will design and implement AI solutions, partner with stakeholders to identify use cases, and integrate LLMs with enterprise systems.

The role involves managing AI Automation projects in finance, developing use cases, and proficiency in enterprise tools and data analytics.

The Integrations Engineer will connect engineering teams with clients, ensuring successful integration of the Agentic AI Platform. Responsibilities involve designing tailored solutions, providing technical support, and improving products based on customer feedback.

The role involves designing and implementing Python applications using AI techniques, working with data technologies, and collaborating with teams in an Agile environment to fulfill research delivery strategy.

This role involves designing and implementing Python applications focusing on classic and generative AI techniques, as well as collaborating with teams to define requirements and improve productivity.

Lead the evolution of QuillBot's creation suite, driving product roadmap and user experience while collaborating with cross-functional teams to create a multimodal output platform.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.

The role involves leveraging machine learning and optimization techniques to provide data-driven insights in supply chain operations, requiring proficiency in data modeling, Python, and cloud technologies.

The consultant is responsible for delivering multi-technology consulting services, developing architectural solutions, engaging with clients, and supporting business development processes.

The Lead SDET will develop and maintain automated testing frameworks and tools, primarily for data integration and non-functional testing within financial applications, while also mentoring junior SDETs.

Develop full-stack applications using React and Node.js, integrating AI/ML solutions, optimizing performance, and collaborating with teams for feature delivery.

Develop machine learning software for semiconductor metrology, optimize algorithms, and collaborate on API development while documenting progress and providing support.