Top Software Engineer Jobs in Bengaluru, KA

As a Staff Backend Engineer at GitLab, you'll define the technical foundation for AI governance, focusing on backend architecture, auditability, policy enforcement, and enterprise reporting for AI systems, while mentoring engineers and guiding cross-team efforts to ensure consistent governance capabilities.

As a Senior Backend Engineer at GitLab, you will build backend systems for AI governance, focusing on compliance and policy controls for AI in the software development lifecycle. Responsibilities include implementing audit pipelines, access control, and backend services, while optimizing data models and ensuring system reliability.

This role involves developing software solutions, performing business/data analysis, designing and maintaining AI components, and collaborating with product management.

The role involves designing and developing AI-enabled applications, building scalable data pipelines, implementing ML models, and collaborating with various teams to ensure reliability and efficiency of AI systems.

As an Intermediate Backend Engineer, you'll implement backend features, maintain automated tests, and collaborate with engineers to ensure reliable AI governance solutions in GitLab's product.

The Applied AI Engineer will design and develop intelligent systems for user automation, focusing on agentic workflows and conversational UIs using AI and machine learning technologies.

Lead the AI Governance engineering team, ensure predictable delivery on roadmap commitments, and drive team growth in compliance and AI-related product development.

The role involves architecting Generative AI solutions, guiding development teams, designing reference architectures, and mentoring staff in AI technologies.

The Senior Full Stack Developer will create and optimize backend APIs using Python and Fast API, handle front-end UI with React JS and Angular JS, and integrate AI features while working in an Agile environment.

Develop and integrate AI capabilities (Einstein, GPT, Salesforce AI) into Salesforce apps using LWC, Apex, Flows, and platform events. Implement RAG, embeddings, vector search, and prompt engineering. Build AI copilots, autonomous workflows, and conversational experiences, integrate external AI platforms, and collaborate on AI governance and safety to align AI workflows with business outcomes.

The Applied AI Engineer will design and build intelligent workflows, develop chat-based user interfaces, and improve AI system performance, focusing on user interaction and experience.