Top Artificial Intelligence Jobs in Bengaluru

Warriors Lab seeks innovators to develop solutions for real-world problems. Candidates may bring their own idea or join the innovation team to research, design, prototype, build, test, improve, and deliver products. The role offers mentorship, infrastructure, research and testing support, and potential venture leadership. Initial compensation is a small monthly stipend, followed by a full-time fixed salary after successful completion of the first three months.

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

Lead enterprise SharePoint and Microsoft 365 architecture, modernization, governance, security, and platform strategy in a regulated financial-services environment. Design solutions across SharePoint Online, Teams, OneDrive, Power Platform, RPA, and AI-enabled workflows. Apply LLMs, RAG, agents, bots, MCP, and AI Builder capabilities to automate processes. Conduct business analysis, migrate legacy automations, advise stakeholders, mentor distributed teams, and oversee architecture and delivery governance.

Operate and scale multi-petabyte distributed storage for AI and HPC workloads. Design high-performance parallel filesystems, object stores, caching architectures, and Kubernetes-native storage operators. Optimize data paths, throughput, multi-tenancy, cost, and reliability across thousands of GPU nodes. Integrate technologies such as Vast, Weka, Ceph, and Lustre; develop automation and tooling in Go and Python; and contribute to storage infrastructure, observability, benchmarking, and open-source projects.

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.

Build automated quality frameworks for AI-powered backend services, APIs, microservices, and field-service workflows. Responsibilities include validating AI accuracy and hallucinations, creating evaluation datasets and regression frameworks, testing intelligent scheduling, performing performance and resilience testing, and integrating quality checks into CI/CD pipelines. The role requires collaboration with Backend, AI/ML, and Product teams.

Execute manual functional, regression, UI, exploratory, cross-browser, cross-device, and API testing for web and mobile applications. Create test cases, plans, bug reports, and acceptance criteria; use AI-assisted tools to expand coverage and improve regression efficiency. Collaborate with developers to reproduce and verify fixes, support release readiness reviews, and evaluate emerging AI QA tools across portfolio companies.

Develops reliable software, APIs, automation, cloud-native services, and internal platform capabilities. The role contributes to CI/CD, integrations, observability, security, testing, and architecture while supporting AI-enabled solutions such as LLM integrations, RAG, and agentic workflows. Candidates should have strong software engineering fundamentals, AWS or other cloud experience, backend development skills, and an interest in platform engineering, AI, and modern developer tooling.

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 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.

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.

Lead architecture and implementation of scalable, distributed enterprise features across multi-cloud environments. Own full lifecycle from whiteboarding and design to coding, integrations, and post-launch stability. Build agent-driven workflows that connect autonomous AI agents to APIs and data pipelines. Execute as a hands-on individual contributor, leveraging AI tools to accelerate delivery while ensuring secure, observable, and extensible enterprise integrations.