Top Artificial Intelligence Jobs in Bengaluru

Develop and support SAP frontend solutions using HTML, CSS, JavaScript and SAP UI5. Work on S/4HANA transformation tooling integrating AI for automated test case, data, and script generation. Participate from backlog validation through realization, collaborate across SAP teams, identify risks, and deliver to specifications.

Develop game concepts by translating requirements into efficient code, producing prototypes, and contributing to design and audio features, while ensuring game polish and maintenance.

The Staff AI Engineer will research, prototype, and develop advanced Generative AI solutions for enterprise applications, leveraging various AI models and frameworks.

As an AI Engineer, you will manage customer inquiries, serve as a product expert, facilitate project engagements, and enhance customer experience with Emergent's platform.

The Lead Automation Engineer will develop and maintain automated testing frameworks for network observability, enhance product quality, and collaborate with engineering teams to improve testing strategies and practices.

Build and ship full‑stack product features, developer tools, and code‑intelligence workflows using React/Next.js, TypeScript, Node.js/Python, Postgres, and cloud services. Improve AI-assisted developer workflows, create repo‑aware copilots, automate testing/CI checks, review AI-generated code for security and performance, and document reusable patterns and engineering playbooks.

As a Senior Full Stack Developer, you will design and build end-to-end features across backend and frontend using .NET and React, collaborate on system architecture, and integrate AI capabilities.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.

As a Principal Engineer for AI Infrastructure, you will own the architecture and execution of core systems. Your role includes making architectural decisions, designing stateful AI workflows, solving platform issues, and leading teams while ensuring compliance and collaboration with various departments.

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.

The Test Automation Engineer will design and maintain test automation frameworks for network observability solutions, collaborate with engineering teams, integrate tests into CI/CD pipelines, and drive quality and testing metrics.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

Join the AI Transformation Engineering team to build and enhance the Nora AI platform, integrating advanced AI into internal systems and creating services for operational efficiency.

The LLM Ops Engineer will design, deploy, and manage scalable AI infrastructure for generative AI applications, focusing on document intelligence workflows and maintaining AI system health.

The AI Engineer will build and optimize an enterprise search solution, manage a knowledge graph, develop ranking models, and enhance search relevance.

The GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.

Develop a multi-language runtime security platform, enhance observability infrastructure, and secure application lifecycles. Requires experience in various programming languages and frameworks.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

The Senior Backend Engineer will own feature development from architecture to production, focusing on AI-driven systems, data pipelines, and quality engineering within a fast-paced e-commerce company.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.