Top Artificial Intelligence Jobs in Bangalore

As a Staff Software Engineer, you will lead the design and implementation of the Risk360 product, focusing on AI-driven development, building scalable systems, and enhancing software productivity through innovative workflows and cloud technologies.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

As a Software Engineer, you'll design and build scalable data pipelines, manage streaming and batch data processing, and develop APIs to support AI applications, while collaborating with AI and Data teams.

Design, build, and operate platforms and backend systems at Rubrik. Own Kubernetes, develop distributed services, and collaborate with engineering teams.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.

Design, develop, test, deploy, and maintain RPA solutions using Automation Anywhere. Gather requirements, document processes, create scalable bots, perform QA, troubleshoot issues, and train end-users while collaborating with stakeholders.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

The Software Test Engineer - AI Analyst develops test architecture for AI software, executes testing strategies, collaborates with teams, and ensures product quality.

Design, develop, and optimize data pipelines and workflows for data ingestion, transformation, and storage. Ensure data quality and governance while collaborating across teams.

Design, develop, and maintain Java applications, lead a software team, collaborate on product requirements, and implement best practices in cybersecurity software development.

Design, develop, and maintain Java applications for cybersecurity, manage a software development team, and stay updated with industry trends.

Design and own RTL development for an AI-enabled RISC-V CPU core, including microarchitecture, vector/matrix engines, performance/power/area optimization, and verification support. Collaborate with cross-functional teams for timing, reliability, testability, and SoC integration.

The Engineering Manager, AI Solutions will build and lead a high-performing engineering team while ensuring predictable delivery and fostering team development.

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

The Principal AWS Cloud Engineer designs and optimizes secure AWS cloud solutions, ensures compliance, leads architecture initiatives, and mentors engineering teams.

Drive AI-driven automation and improvements for the NonStop System Performance test suite. Execute benchmarking, full-stack profiling, root-cause analyses, and performance tuning using profiling and networking tools. Prototype and deliver Python-based automation, create AI artifacts and personas, implement CI/CD workflow automations, track impact metrics, and enable team adoption through demos and training.

As a Software Engineer for Middle Office Systems, you will develop AI-enabled trading services, optimize system performance, and mentor junior engineers while collaborating with other teams.

As a Senior Software Engineer - AI, you will design, build, and operate AI/ML platforms and services while collaborating with multiple teams to ensure security and performance standards.

As a Senior Software Engineer in AI, you'll design and implement AI/ML platforms, optimize data pipelines and collaborate with various teams to enhance services for P&C insurers.

Join a team to design, develop, and optimize high-quality software for secure access to applications. Responsibilities include coding, writing APIs, and implementing automation in CI/CD.

As an Agentic AI Systems Engineer, you will design systems enabling AI agents to collaborate with engineers, build developer tooling, and create a multi-agent environment.

Seeking a Senior Full-Stack Developer with expertise in AI technologies to develop and maintain application functionality.

The Senior QA Engineer will automate testing, validate AI model outputs, test API features, and collaborate across teams to ensure quality and performance.

The Enterprise Architect is responsible for designing AI-powered enterprise solutions and leading teams in implementing and deploying AI/ML applications across various environments.