Top Artificial Intelligence Jobs in Gurgaon

The Director will lead the architecture and build plan for the AI-native data platform, integrating analytics and AI systems, and will build a high-performing engineering team in India.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

The Senior Software Engineer role involves developing features, using AI tools for coding, mentoring engineers, and enhancing code quality at Payoneer.

The role involves analyzing and designing solutions for financial systems, developing high-availability applications, ensuring quality through testing, mentoring team members, and collaborating on technical strategies.

Build, deploy, and maintain high-velocity React Native mobile apps using AI-accelerated workflows. Rapidly prototype marketing lead-gen experiments, manage live production incidents, run security-focused code reviews, deploy to App Store and Google Play, and maintain documentation and quality processes while leveraging AI tools for UI generation and code orchestration.

Provide daily support and troubleshooting for AI code assistants and development environments, help configure DevOps/DevSecOps pipelines and MCP integrations, assist with agentic workflows and automation, create documentation and onboarding materials, and collaborate with senior engineers to improve tooling and developer experience.

Support engineering teams by enabling AI code assistants, configuring development environments and IDEs, maintaining DevOps/DevSecOps and CI/CD pipelines, assisting with MCP integrations, implementing agentic workflows and automation, providing end‑user support and documentation, and collaborating with senior engineers to improve tooling and processes.

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Lead Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

Design and implement backend systems for a user-facing AI chat product. Collaborate with product, DevOps, and QA; drive best practices, conduct code reviews, and deliver high-quality microservices using cloud infrastructure and message brokers.

Early-career software engineer in a fixed-term accelerator contributing to backend/full-stack feature development, testing, CI/CD, and deployments. Collaborate on API and system design, integrate and deploy AI/LLM capabilities (LLM APIs, RAG, embeddings, agents), build datasets/benchmarks, monitor performance, debug issues, and produce technical documentation.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

As a Senior Software Engineer, you'll build and scale Jetpac's core systems, focusing on system reliability and performance, utilizing AI-assisted workflows, and improving developer productivity.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Lead the design and delivery of SAP Finance solutions, driving process excellence and innovation in a global organization, while mentoring junior team members.

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.

The Software Development Engineer in Test (SDET) designs and maintains automation frameworks using Microsoft Playwright, integrates AI tools for test generation, and performs API testing while collaborating with a global team.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

As a Senior Software Engineer at Sophos, you'll design and manage AI-driven firewall systems, focusing on enhancing automation, security, and compliance while taking ownership of end-to-end distributed systems.

As a Senior Full Stack Developer, you will design and build end-to-end features across backend and frontend using .NET and React, collaborate on system architecture, and integrate AI capabilities.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

Build and maintain Python/FastAPI backend services and React frontends, design and consume REST APIs, work with relational databases, and implement/debug AI-enabled features including vector DBs, embeddings, semantic search, and RAG workflows. Improve existing codebases, collaborate with product and design, participate in testing, deployment, and monitoring, and ensure performance, security, and maintainability.