Top Artificial Intelligence Jobs in Bangalore

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

Lead SRE for the Network Assurance Data Platform responsible for designing, building, and optimizing cloud and big-data infrastructure for ML/AI workloads. Provide technical leadership, troubleshoot production issues, implement SRE practices (monitoring, alerting, error budgets), mentor engineers, collaborate with cross-functional teams, and drive the platform roadmap and automation for enterprise-scale deployments.

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

Designs and develops software for cloud systems, leads project teams, reviews compliance and quality, drives innovation in technology integration and supports team mentorship.

Designs, builds, and supports Power Platform and AI-enabled automations using Power Apps, Power Automate, Copilot Studio, PowerShell and M365. Implements Copilot agents, performs root-cause analysis, supports production incidents, creates runbooks, and builds Power BI governance and health dashboards.

Design, develop, and maintain high-performance backend services and RESTful APIs using Java and Python. Define API contracts, implement secure authentication (OAuth2/JWT), ensure observability and testing, troubleshoot production, and contribute to CI/CD and microservices-based platform architecture.

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 role involves designing and building scalable backend systems in Java, using AI-assisted development, microservices architecture, and cloud technologies for a media technology platform.

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

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.

The Senior Engineering Manager, AI Agents will lead the AI Agent software platform development, managing a high-performing engineering team focused on creating autonomous self-service agents and ensuring operational excellence in software development.

Design, develop, and scale AI-enabling platform services and public APIs. Collaborate with teams to create AI solutions and ensure security.

Lead end-to-end delivery of Power Platform and AI-enabled automations using Power Apps, Power Automate, Copilot Studio and PowerShell; support production workloads, perform root cause analysis, maintain runbooks and build Power BI dashboards for platform health and governance.

Build and maintain lab environments and CI/CD pipelines for the Skylar AI platform. Create automated end-to-end tests, simulate user journeys and telemetry, validate integrations and performance, manage versioning and rollback tests, support data generation, and document environments. Partner with product, data science, QA, and engineering to ensure reliable monthly updates and platform availability.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

Design, develop, and run performance and load tests that model production workloads. Analyze JVM, database, network, and infrastructure bottlenecks. Integrate tests into CI/CD, perform deep-dive investigations (profiling, JVM tuning, thread and DB analysis), and collaborate with engineering, architecture, and DevOps to remediate and optimize system performance.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

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

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Build and ship native Android features in Kotlin and Jetpack Compose; integrate REST APIs; improve performance, crashes and memory; collaborate with product/design; use analytics and on-device AI (TensorFlow Lite) to enhance user journeys for insurance and financial services.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify financial user journeys, and apply on-device ML where it improves UX.

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

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

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.