Top Artificial Intelligence Jobs in Bengaluru

Leads enterprise IT infrastructure operations across data centers, servers, virtualization, networks, Linux and Unix platforms, deskside support, SOC, NOC, storage, and backup. Ensures availability, reliability, capacity, uptime, SLA compliance, incident resolution, root-cause analysis, and cybersecurity posture. Manages major incidents, service restoration, ITIL and ISO processes, operational dashboards, executive reporting, risk and compliance, service improvement, automation, and AI-enabled operational efficiencies. Oversees teams of at least 25 employees across multiple technologies.

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

Develop games throughout the full lifecycle, translating requirements into efficient code, prototyping gameplay features, contributing to design and audio, resolving technical issues, maintaining code, fixing bugs, and polishing finished products. The role also involves communicating with the team, establishing schedules and milestones, and applying expertise in a specialized area such as AI, 3D rendering, animation, physics, networking, or audio.

Perform manual, exploratory, functional, usability, API, and database testing for web and mobile platforms. Use generative AI tools to create test cases, analyze requirements, generate synthetic data, and support defect triage. Review AI-generated outputs for accuracy and coverage, identify and document defects, validate edge cases, participate in Agile ceremonies, and provide feedback on acceptance criteria and sprint risks.

Build and extend internal operations tools and a customer-facing web app. Integrate business systems through REST APIs, use AI coding tools to prototype and debug, implement access controls, understand data consistency, collaborate directly with users, and document maintainable solutions.

Lead development and optimization of astrodynamics algorithms for orbit determination, propagation, conjunction analysis, and prediction. Design, validate, and operationalize scalable, efficient SSA software; research ML/AI and numerical methods; mentor junior engineers; collaborate across software, data science, operations, and product teams; contribute to documentation, proposals, and publications.

Build and own modular, node-based workflows powering ecommerce operations and AI agent interactions. Integrate APIs, data systems, and third-party services; debug, audit, refactor, document, and monitor live workflows. Create admin interfaces and workflow health tools, collaborate with product, design, and AI/ML teams, and deliver automation for onboarding, content, personalization, and fulfillment. The role requires strong JavaScript and TypeScript skills, Python scripting, workflow-builder experience, API integration expertise, and disciplined systems thinking.

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.

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 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.

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.

Own and drive the frontend of a data-intensive SaaS product: design React/TypeScript architecture in a Turborepo, implement typed API contracts, build interactive visualizations, enforce AI-native engineering practices and automated tests, optimise performance and accessibility, mentor engineers, and contribute to CI/CD and frontend standards.

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

Design and ship robust frontend solutions and SDKs, own features end-to-end, collaborate with product and backend teams, mentor engineers, handle real-time/media streaming, implement authentication, offline-first sync, and debug end-to-end issues using network tools.

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.

Design, build, and own automated GTM workflows and campaign pipelines; create and configure AI agents and internal self-serve tools; maintain funnel and pipeline data accuracy; instrument end-to-end reporting; and partner with sales, marketing, and leadership to turn GTM strategy into reliable, scalable systems.

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

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

Lead product quality across the SDLC by reducing defects, driving root-cause analysis, defining automation strategy and quality gates, building automated test frameworks (Playwright, API, integration, performance), integrating tests into CI/CD, enforcing release readiness, and using Claude Code and other AI tools to analyze issues and improve engineering outcomes.

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 data integrations and tooling that combine CRM, product telemetry, support, billing, and other signals to provide GTM teams with context, automation, and real-time augmentation. Enable account prioritization, allocation, and funnel conversion tracking to increase revenue and save time across sales, marketing, growth, and customer success.

Work on a TypeScript full‑stack product (Next.js/React) with an AI pipeline using Anthropic Claude, real‑time collaboration (Liveblocks/Yjs/Tiptap), and Cloud Run background jobs. Build UI features, improve AI agent prompts/schemas/output rendering, write and maintain unit tests, read docs to unblock yourself, and grow to own product slices.

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.

Design and presales of end-to-end AI/HPC infrastructure: size GPU clusters, storage, networking, Kubernetes/container platforms, integrate liquid-cooled racks with facility constraints, validate solutions with OEMs, and support delivery for scalable, operable AI deployments.