Top Artificial Intelligence Jobs in Bangalore

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.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

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 Cloud Developer designs and develops GenAI-based cloud applications, collaborates with teams, implements solutions, and ensures effective delivery and performance.

The role involves building scalable RAG solutions, optimizing workflows, collaborating on product features, and ensuring software quality. Requires expertise in AI applications and Python.

The Solutions Architect for Physical AI will lead customer architecture and enablement across robotics solutions, guiding integrations, troubleshooting, and supporting from proof-of-concept to full production.

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

Lead software architecture for AI-enabled image-guided therapy solutions, ensuring secure, scalable, and compliant development while mentoring global agile teams.

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.

As a Senior Data Engineer, you will design and operate scalable data pipelines, ensure data quality, and collaborate with cross-functional teams to enable AI-driven workflows within operational processes.

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.

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.

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.

Develop Salesforce applications using Apex and LWC while integrating AI capabilities, managing workflows, and enhancing user experiences with external AI platforms.

Design and implement AI-enabled PLM architectures, lead integration with ERP and manufacturing systems, and ensure effective PLM processes and workflows.

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.

Design, develop, and maintain cloud-native microservices, integrate AI capabilities, implement Infrastructure as Code, and ensure compliance in healthcare applications.