Top Artificial Intelligence Jobs in Chennai

Design, develop and maintain scalable software systems as part of a distributed team; collaborating with product managers and engineers while ensuring quality and performance.

Design, develop, test, and maintain backend and frontend components for SaaS applications, translating requirements into technical designs and ensuring system performance.

The Principal Software Engineer will lead technical strategy and architecture design for a SaaS platform, mentor engineers, and drive best practices.

The Principal Software Engineer will lead the architecture and technical strategy for large-scale SaaS platforms, mentor teams, and drive best practices while collaborating with cross-functional stakeholders.

Design and develop enterprise-grade SaaS applications, collaborate with teams, maintain code quality, and implement microservices architecture.

As a part of the AI and High Performance Computing group, you will analyze data, develop concepts, prototype solutions, and specify software requirements.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across applications.

Lead technical design and architecture strategy for high-value digital solutions sales, collaborating with sales teams to present solutions and ensuring technical integrity during proposals.

Analyze scientific literature on molecular interactions, ensure proper data presentation in the MetaBase database, and maintain knowledge on scientific trends.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

Join Boomi as a Fullstack AI/ML Engineer to work on their intelligent integration and automation platform, making impactful contributions.

As a Principal AIOps Engineer at Boomi, you will leverage AI and machine learning to enhance integration and automation, driving significant business impact. You'll work with cutting-edge technologies and lead teams to innovate and solve complex challenges.

Lead a team focused on developing enterprise-grade AI platforms. Oversee technical execution, drive innovation, and ensure systems meet scalability and compliance requirements.

As a Senior Principal Software Engineer, you'll lead backend architecture, mentor teams, and drive Agentic AI implementation while ensuring scalability and reliability.

The role involves designing, developing, and testing software systems in a micro-services environment, focusing on AI/ML algorithms and collaborating with cross-functional teams.

The role involves end-to-end ownership of Python, AI/ML, and Generative AI solutions, from design and development to deployment and monitoring, while collaborating with cross-functional teams to automate business processes and ensure quality.

Design, develop, and deploy Python-based generative AI/LLM applications. Implement RAG pipelines, vector DB integrations, prompt engineering, MLOps, model evaluation, and production deployment. Collaborate on systems analysis, project management, and enterprise integration to deliver scalable AI automation solutions.

The Associate Cloud Engineer will build resilient cloud environments using AWS and Azure, automate operations, and implement AI-driven solutions for efficiency.

Design, develop, and support technical solutions using Angular, .NET Core, and SQL while collaborating within Agile teams. Enhance existing applications and produce technical designs.

The role involves developing and testing algorithms for autonomous driving, researching sensor technologies, supporting IP activities, and improving algorithm processes.

As a Senior AI Developer, you will design and implement AI systems and workflows, build scalable services using LLM orchestration, and ensure reliable cloud deployments. You will leverage modern frameworks and tools to optimize AI applications.

Design, develop, and deploy Python-based automation and AI-driven solutions to optimize enterprise workflows. Integrate ML/NLP/OCR models, build data and API pipelines, ensure scalability/security, monitor KPIs, and provide technical guidance to deliver reliable, governed automation.

The role involves designing, developing, and deploying an automation platform. Responsibilities include writing code, collaborating with teams, and enhancing efficiency in software engineering.

Lead design and delivery of production-grade AI/ML systems (NLP, NLU, LLMs). Define end-to-end pipelines, establish engineering standards, mentor engineers, optimize models for scale, manage delivery timelines, and collaborate with product teams to implement generative AI solutions.

Develop and deploy production-ready AI/ML applications using LLMs and cloud AI services. Design, test, and integrate deep learning, NLP, chatbots, and image-processing solutions, collaborating with cross-functional teams to ensure reliability and performance.