Top Artificial Intelligence Jobs in Bengaluru

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

The Lead Full Stack Software Engineer will develop and maintain backend services, manage CI/CD pipelines, build Teams bots, and support system migrations, focusing on Python and Azure Functions.

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

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

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

Develop and implement AI-driven applications, collaborating on backend APIs and frontend components. Manage AWS architecture, unit testing, and documentation.

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

Lead the design of scalable AI-powered workflows, integrating enterprise data systems, and ensuring security while enhancing human-AI interaction and observability.

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 a Forward Deployed Engineer, you will design, build, and deploy AI agents, integrating them with external systems, optimizing performance, and advising customers on AI architecture and scalability.

As an AI Engineer at Flent, you will architect the AI Broker, build virtual home tours, and lead the development of a resident-facing platform, ensuring a strong engineering culture.

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.

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.

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

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.

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.

Lead the development of scalable backend systems for AI interactions, collaborating with cross-functional teams and mentoring junior engineers.

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.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

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.