Top Artificial Intelligence Jobs in Bengaluru

Develop and support SAP frontend solutions using HTML, CSS, JavaScript and SAP UI5. Work on S/4HANA transformation tooling integrating AI for automated test case, data, and script generation. Participate from backlog validation through realization, collaborate across SAP teams, identify risks, and deliver to specifications.

Own verification of custom AI accelerator hardware, including matrix and vector compute engines. Develop SystemVerilog and UVM environments, reference models, assertions, checkers, coverage, and regression infrastructure. Verify numerical precision, quantization, data flow, performance, and reliability across RTL blocks and subsystems. Collaborate with architecture, RTL, software, compiler, and runtime teams through emulation and silicon bring-up.

Design, build, deploy, integrate, support, and optimize production Voice AI agents. Develop backend integrations with enterprise systems using APIs, WebSockets, webhooks, and CRM connections. Implement LLM orchestration, monitor agent performance, analyze logs and traces, and perform root-cause analysis. Lead client workshops, manage technical delivery, and support live-call reviews and deployments.

Build and maintain scalable, low-latency backend systems for real-time AI and voice workflows. Responsibilities include developing microservices, APIs, streaming systems, concurrent and fault-tolerant code, observability, testing, deployment, and monitoring. The role integrates WebRTC and telephony protocols, Voice AI, LLMs, vector databases, and agent frameworks while collaborating with product, AI, and ML teams on multi-agent orchestration and automation.

Build and maintain full-stack web and mobile applications, campaign and influencer marketing tools, dashboards, workflow automations, AI-driven tools, and third-party API integrations. Develop with React, Node.js, and Python; manage deployments, CI/CD, monitoring, and basic infrastructure. Own projects end to end, guide junior developers, conduct code reviews, and collaborate with founders, marketers, and nontechnical teams.

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.

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.

Build and ship end-to-end product features across React frontends and Django backends. Design data models, RESTful APIs, responsive user interfaces, and algorithmic or AI-driven logic involving scoring, ranking, and decision rules. Optimize performance through efficient queries and caching, write production-ready code, and work independently with a distributed startup team. Experience with GCP, Redis, Docker, Kubernetes, React Native, or AI coding assistants is advantageous.

Lead and mentor 5–10 technical trainers creating and evaluating terminal-based AI training tasks. Review software, computational, electrical engineering, circuit, HDL, simulation, and automated grading tasks for correctness, reproducibility, numerical accuracy, performance, and reliability. Identify flawed assumptions, nondeterminism, race conditions, testing weaknesses, and technical inaccuracies. Allocate work, resolve blockers, provide detailed feedback, track revisions, and maintain technical documentation and quality standards.

Lead cloud and platform architecture for scalable AI and SaaS systems. Design AWS multi-region infrastructure, HA/DR environments, Kubernetes clusters, networking, storage, and Infrastructure-as-Code. Bridge application engineering and infrastructure by reviewing architectures, improving backend performance, building platform tooling, mentoring engineers, and enabling cloud-native reliability. Own observability, incident response, root-cause analysis, and deployment automation while supporting security scanning and compliance alignment.

Build and maintain scalable modular iOS applications using Swift and modern Apple technologies. Responsibilities include developing SwiftUI interfaces, integrating LLM APIs and agentic workflows with MCP, optimizing performance and startup time, diagnosing memory and concurrency issues, implementing crash monitoring, and establishing maintainable architectures for independent feature-team delivery.

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.

Build and own backend services, APIs, data models, and algorithmic or AI-driven business logic using Python and Django. Responsibilities include designing relational schemas, implementing RESTful endpoints, optimizing queries and performance, applying caching, translating product ideas into technical designs, and contributing to engineering patterns within a distributed startup team.

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.

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.

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.

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.

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.

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.