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.

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 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 Senior Backend Engineer will focus on backend development, optimizing product flows, constructing resilient systems, and deploying various models for AI applications. Candidates should have experience with Python, cloud platforms, Docker, and Kubernetes.

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

The Staff Quality Assurance Engineer will lead QA modernization by leveraging AI and automation, ensuring high-quality standards in AI-driven products.

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.

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

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.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

Develop and maintain backend services integrating AI workflows, collaborate on automation in eCommerce logistics, ensuring optimal system performance.

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

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

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.