Top Artificial Intelligence Jobs in Bangalore

The UX/UI Engineer will design and develop AI-enhanced interfaces, conduct user research, and collaborate with teams to create scalable, accessible experiences for AI applications.

Lead design, customize, and implement ServiceNow ITSM, Service Portal, and ITOM solutions. Perform integrations (REST, SOAP, MID Server), Discovery and CMDB maintenance, and develop/optimize scripts. Run workshops, mentor junior developers, and participate in Agile delivery to translate client requirements into scalable ServiceNow solutions.

Design and develop analog integrated circuits, utilizing AI/ML tools. Collaborate with teams, conduct simulations, and drive innovation in circuit design.

The Software Engineer will develop backend services, work with cloud infrastructure, build automation tools, and enhance system reliability while collaborating with various engineering teams.

Develop, maintain, and optimize scalable web applications using Next.js and TypeScript. Design schemas and queries for PostgreSQL and MongoDB, build/consume RESTful APIs, collaborate with microservices in Python/C#, assist with containerization and OpenShift deployments, write tests and documentation, participate in code reviews, and monitor and optimize application performance.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify financial user journeys, and apply on-device ML where it improves UX.

Build and ship native Android features in Kotlin and Jetpack Compose; integrate REST APIs; improve performance, crashes and memory; collaborate with product/design; use analytics and on-device AI (TensorFlow Lite) to enhance user journeys for insurance and financial services.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

Senior Application Engineer responsible for end-to-end delivery of AI-backed features: building REST APIs, wiring frontends, integrating LLM components (prompting, streaming, fallbacks) on AWS Bedrock, ensuring CI/CD, observability, and mentoring junior engineers.

Manage a team of software engineers to develop AI solutions, focusing on statistical and machine learning models. Collaborate with cross-functional teams and ensure high quality in software delivery.

The AI-Native Senior Quality Tester will enhance digital experiences through AI-driven testing, orchestrating quality strategies, tracking metrics, and validating software functionality early in development.

The Senior Python Developer will build scalable services, design server architecture, mentor junior engineers, and enhance automation processes.