Top Artificial Intelligence Jobs in Bangalore

The Service Architect will analyze, design, and develop end-to-end solutions while managing the service lifecycle and coordinating infrastructure planning.

Designs, develops, and maintains software applications while collaborating with cross-functional teams and improving software performance through testing and automation.

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

The Engineering Manager will lead a team in developing high-performance Linux runtime security solutions for cloud and AI workloads, ensuring product quality and overseeing strategic initiatives.

Develop, deploy, and support enterprise-level software modules while ensuring design quality and technical architecture. Mentor teams and improve product features.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

Seeking a Senior Cloud Support Engineer with expertise in Kubernetes and AI/ML to resolve complex customer challenges and design cloud solutions. Responsibilities include technical leadership, customer impact, organizational leadership, and mentoring junior engineers.

Design and develop AI/ML platforms and IoT systems, troubleshoot software, optimize performance, and lead projects across devices. Collaborate with teams to translate ideas into actionable plans.

The Senior Software Engineer will lead the design and support of AI Assistants and automation solutions, develop scalable micro-services, and manage product requirements, focusing on reliability and efficiency.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

As a Senior Full Stack Engineer, you'll design user interfaces, develop back-end services, optimize databases, deploy solutions on AWS, and contribute to AI initiatives while collaborating in an Agile environment.

The Senior DevOps Engineer will enhance cloud infrastructure, manage multi-cloud environments, automate infrastructure with IaC, optimize costs, and strengthen security, focusing on the Edwin AI team at LogicMonitor.

As a Staff Software Engineer, you'll design and develop scalable backend systems for an AI platform, collaborating with cross-functional teams to drive product delivery and implementing infrastructure as code.

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 Agentic AI Specialist will leverage AI tools like GitHub Copilot and LLMs to enhance coding efficiency, develop AI solutions, and train teams while ensuring security compliance.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

As a Software Engineer, you will design and implement CI/CD pipelines, develop platform services, and monitor system performances for public safety solutions.

Design, develop, test, and maintain backend and frontend components for SaaS applications, translating requirements into technical designs and ensuring system performance.

The Principal Software Engineer will lead technical strategy and architecture design for a SaaS platform, mentor engineers, and drive best practices.

The Principal Software Engineer will lead the architecture and technical strategy for large-scale SaaS platforms, mentor teams, and drive best practices while collaborating with cross-functional stakeholders.

As a Senior Software Developer, you will architect, develop, and maintain software solutions using Java, Python, and AI technologies. You will lead a team, integrate advanced AI capabilities, and collaborate with various teams to drive efficiency and innovation in products.

Lead the development and strategy of the platform, manage teams, deliver complex services, and communicate with stakeholders, including executive leadership.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern 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.