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.

The Engineering Manager leads product development in a cloud-native SaaS environment, ensuring adherence to engineering standards while mitigating risks and fostering team growth.

Hands-on staff full-stack engineer designing and delivering AI-driven systems: build frontends with React/Next.js/TypeScript, backends with Python/FastAPI, integrate LLMs and AI services, lead architecture, mentor engineers, and collaborate with business units to drive adoption.

Design and implement robotics software and AI/ML models for embedded systems, focusing on performance optimization and system integration. Lead architectural decisions and ensure production readiness of robotics and edge AI solutions.

The role involves developing AI-driven analytics solutions, collaborating with cross-functional teams, and ensuring high code quality in an agile setup.

This role involves leading the development of AI-driven analytics solutions, mentoring teams, and collaborating with cross-functional stakeholders to enhance cybersecurity through innovative technology.

Design, develop, and maintain the Threat Intelligence Platform backend focusing on performance, scalability, and maintainability. Collaborate with product, security analysts, and designers to implement requirements, participate in code reviews, write high-quality code and tests, integrate AI/agent tools, and produce technical documentation while following CI/CD and Agile practices.

Design and develop cloud-native applications, integrate AI capabilities, and implement CI/CD pipelines while promoting architectural best practices and compliance in healthcare systems.

The role involves designing cloud-native applications, integrating AI into workflows, and implementing DevOps practices using modern tools like Terraform and Kubernetes.

The job focuses on developing scalable, cloud-native applications and integrating AI capabilities, using modern DevOps practices for automation and orchestration.

Seeking an experienced Cloud Platform Engineer to build and automate Cloud Platforms on AWS, ensuring security, scalability, and compliance while managing CI/CD frameworks and guiding engineering teams.

Develop and maintain scalable enterprise AI tools, oversee AI pipeline services, and ensure software reliability and performance through design and architecture discussions.

The Staff Software Engineer will lead architecture and development of scalable enterprise platforms, managing full engineering lifecycle and mentoring engineers, while driving modernization initiatives in cloud infrastructure and CI/CD systems.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

Lead the design of AI-driven storage solutions, collaborate with stakeholders, mentor teams, and drive technological innovation while ensuring integration with enterprise systems.

The role involves designing AI workflows for embedded systems, optimizing AI inferencing, and collaborating on automation use cases, focusing on autonomous AI applications.

The engineer will develop data analytics solutions for embedded systems using machine learning techniques, support analytics workflows, and build observability frameworks.

The role involves developing data analytics solutions for embedded systems, utilizing machine learning techniques, and collaborating on AI-driven insights for automotive applications.

The Senior QA Software Engineer - AI will design and implement test strategies for AI-driven solutions, develop automated testing frameworks, and mentor junior engineers while ensuring quality across software applications in legal, tax, and compliance domains.

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

Manage Data Engineering Solutions Team, build data pipelines, collaborate with product teams, and drive data initiatives while ensuring data quality.

The Principal Engineer will enhance performance, reliability, and efficiency in web applications and backend systems, lead CI/CD improvements, and adopt AI workflows, while mentoring other engineers.

Lead a team of engineers to evolve the architecture and strategy of the AI Search platform, ensuring high-performance search systems meet strict operational metrics, while nurturing talent and fostering a collaborative culture.

As a Software Engineer - AI, you will design and implement testing strategies for AI systems, mentor junior engineers, and ensure quality compliance across AI applications.

The role involves designing, developing, and implementing solutions using Salesforce and Apttus platforms, enhancing sales processes with AI tools, and collaborating with teams on technical solutions.