Top Artificial Intelligence Jobs in Bengaluru

Conduct online robotics and STEM classes for students aged 8–16, teaching Arduino, IoT, electronics, sensors, automation, coding, and AI basics. Mentor students through robotics projects, innovation challenges, competitions, and presentations. Create engaging virtual learning experiences, troubleshoot project and coding issues, and support Indian and international students.

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.

Lead development of high-performance, HANA-optimized SAP applications using modern ABAP, CDS Views, AMDP, SQLScript, OData, and APIs. Integrate SAP services with LLMs, RAG, and agentic AI while implementing guardrails, evaluation frameworks, testing, observability, and reliable fallbacks. Collaborate with UX, data, integration, and platform teams to deliver scalable cloud-ready solutions and provide production support.

Lead a technical pod delivering Java full-stack applications with React, Python, AI tools, Spring Boot, microservices, and REST APIs. Provide technical team leadership, guide cloud implementations with a preference for Azure, engage directly with clients, and communicate and present effectively. The role is based in Bangalore or Hyderabad and initially requires five days per week in the office during the general shift.

Own quality for AI products including a support chatbot, API Copilot, and MCP server. Build golden datasets, evaluation harnesses, scoring systems, regression coverage, and release gates. Analyze production traces and tool calls to identify hallucinations, retrieval, generation, tool-use, context, and PII failures. Define quality metrics, investigate root causes, and convert findings into actionable engineering evidence. The role requires Python, API testing, AI evaluation experience, and strong QA/SDET expertise.

Develop realistic backend coding challenges, including feature implementations and bug fixes, for AI training projects. Design deterministic verifiers, automated tests, and validation criteria that distinguish correct from incorrect solutions. Evaluate code for correctness, reliability, maintainability, security, and performance while identifying edge cases and bottlenecks. Work independently with backend technologies and refine tasks based on project requirements and quality standards.

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.

Develop scalable full-stack enterprise applications using Java, Spring Boot, microservices, REST APIs, and React or Angular. Design architectures, integrate databases and messaging systems, implement security, testing, CI/CD, Docker, Kubernetes, and cloud deployments. Apply agentic AI, LLM integrations, AI coding tools, prompt engineering, and tool calling to improve development workflows. Troubleshoot production issues, collaborate across technical teams, conduct code reviews, and mentor developers.

Develop and customize Salesforce CPQ and Sales Cloud solutions using Apex and Lightning Web Components. Apply AI development tools, specifically Agentforce or Claude coding, to Salesforce implementations. All listed technical skills are mandatory. This is a remote contract role with a 2 PM to 11 PM shift.

Designs and leads enterprise AI Factory and GPU infrastructure architectures spanning compute, networking, storage, Kubernetes, cloud, security, observability, and AI/ML platforms. Assesses workloads, develops reference architectures and detailed designs, performs capacity planning and technology evaluations, leads proof-of-concepts, and supports deployment, migration, troubleshooting, and production transition. Collaborates across infrastructure, security, cloud, data, application, and operations teams to ensure scalable, secure, reliable, and cost-effective AI platforms.

Own the Workato environment, configure enterprise integrations, and build AI-native packages using Workato AI Genie. Design and deploy agent-ready workflows and AI-powered workflow automation solutions, while managing RBAC, auditing, and multi-workspace environments. Integrate Workato with enterprise applications and support scalable workflow implementations.

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.

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.