Top Artificial Intelligence Jobs in Bangalore

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

As Lead AI Engineer, you'll build an inference orchestration layer for AI models, ensure high availability, manage cost, and provide observability across agentic products, while supporting internal product teams.

The Developer Relations AI role involves engaging and educating the developer community, creating technical content, and bridging communication between developers and product teams, while promoting technology adoption and community growth.

Seeking a technical leader to shape the Revenue and Finance Automation suite, manage execution, design systems for interoperability, mentor engineers, and drive product strategy.

The Principal AI Software Engineer will develop and deliver AI software, mentor junior engineers, and collaborate with teams across locations to meet technical needs.

As a Staff Software Engineer, you will develop and scale ABBYY's AI platform, focusing on Kubernetes, DevOps, and MLOps while mentoring engineers and designing systems.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

As a Lead Engineer, you will design scalable architectures, lead development efforts, integrate AI features, ensure product reliability, and promote security and observability practices.

Develop and maintain solutions using Microsoft Power Platform, integrating with Dynamics 365, and providing technical support while collaborating with teams to automate business processes.

As a Senior Software Engineer, you will develop high performance web platforms and applications, building scalable systems and integrating AI technologies while collaborating on an agile team.

The Senior Software Engineer will develop scalable applications using Java Spring, participate in Agile processes, and own production code management.

The Principal Software Engineer leads the design and implementation of AI solutions to improve DevOps workflows, enhancing software build, test, and release processes. This role involves collaborating with multiple teams, proposing architectural improvements, and ensuring reliable AI integration into production environments.

The Engineering Manager will lead software engineering teams, drive AI adoption, oversee architecture for applications, and ensure delivery of impactful features while fostering a high-performing culture.

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

The Staff AI Platform Engineer will design scalable AI systems, improve reliability, mentor engineers, and collaborate on technical roadmaps, ensuring robust platforms and engineering excellence.

Lead the design and operation of AI-powered systems at scale, ensuring reliability and mentoring engineering teams while shaping technical architecture.

The Software Technologist role involves software development, coding, design, and proficiency in various technologies including Python and AWS. Candidates should have 5-8 years of experience and a passion for automation and collaboration.

Lead and manage engineering teams to enhance Couchbase's AI platform capabilities, ensuring scalability, operational excellence, and cross-functional collaboration in cloud-native environments.

As a Senior Infrastructure Automation Engineer, you will automate server management for large cluster environments, enhance infrastructure reliability, and collaborate with teams to improve productivity and performance.

The Senior Engineer will develop high-performance cloud technologies, work on Kubernetes and OpenStack projects, and focus on containerization and fault tolerance. Key responsibilities include coding, testing, troubleshooting, and ensuring high availability across distributed systems.

Design, develop, and maintain scalable, high-performance backend microservices and APIs for AI initiatives. Troubleshoot production issues, collaborate with cross-functional teams, document services, and mentor engineers while driving backend best practices and delivering solutions on schedule.

As a Software Test Architect, you will define and implement test strategies, manage software testing processes, and ensure quality assurance for AI-enabled applications, working in agile teams.

As an Automation & AI Developer, you'll design and implement AI solutions using LangGraph and AWS, create automations with low-code tools, and maintain production systems through debugging and optimization, while mentoring junior developers.

Develop methodology, flows, and tools for SoC and IP development efficiency; work with teams on automation tools using VLSI expertise.

The Software DevOps Engineer will develop, enhance, and implement software systems for generative AI, focusing on backend development, quality assurance, and scalability.