Top Artificial Intelligence Jobs in Bengaluru

The role involves developing games from concept to product, including coding, scheduling, design, and problem-solving during the development lifecycle.

Seeking Full Stack Developer Interns for AI-focused projects. Gain hands-on experience in development with mentorship from experienced engineers. Ideal for students graduating in 2026.

You will support AI-generated applications, debug issues in live environments, enhance product stability, and build troubleshooting guides.

The Director Engineering leads teams to deliver AI solutions, manages engineering talent, drives Agile practices, and promotes innovation in technology.

The Backend Engineer will develop Python-based microservices for AI integrations, manage PostgreSQL databases, and collaborate with teams on APIs and architecture.

The Software Engineer II will design and maintain Striim's AI-driven cloud-native platform, optimizing microservices, collaborating on architecture, and ensuring reliability in real-time data processing.

Lead the design and delivery of AI-driven projects, focusing on customer relationships, technical execution, and integration strategies while managing technology teams.

The Software Engineer will optimize AI inference processes for robotic systems, ensuring high performance under varying constraints and building infrastructure for model integration.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Design and deploy AI agents, integrate systems, optimize performance, and provide customer technical guidance in AI agent architecture and integration.

The Fullstack Engineer will collaborate with teams to develop a quality intelligence platform by creating backend APIs in Python and frontend components in React. They will design the AWS architecture and focus on unit and integration testing while following best practices in coding and project management.

The AI Engineer will build and optimize an enterprise search solution, manage a knowledge graph, develop ranking models, and enhance search relevance.

The LLM Ops Engineer will design, deploy, and manage scalable AI infrastructure for generative AI applications, focusing on document intelligence workflows and maintaining AI system health.

Develop a multi-language runtime security platform, enhance observability infrastructure, and secure application lifecycles. Requires experience in various programming languages and frameworks.

The GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.

The QA Analyst will perform manual testing, create test cases, utilize AI tools, assist with automation, and collaborate with teams.

The Staff AI Engineer will research, prototype, and develop advanced Generative AI solutions for enterprise applications, leveraging various AI models and frameworks.

The AI Integrations Specialist will integrate Ema with enterprise applications, conduct AI evaluations, and collaborate across teams to enhance operational capabilities.

The Senior AI Applications Engineer configures and optimizes AI solutions for enterprises, ensuring high performance and customer satisfaction while managing complex deployments independently.

As an AI Engineer, you will manage customer inquiries, serve as a product expert, facilitate project engagements, and enhance customer experience with Emergent's platform.

The Lead Automation Engineer will develop and maintain automated testing frameworks for network observability, enhance product quality, and collaborate with engineering teams to improve testing strategies and practices.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.