Top Artificial Intelligence Jobs in Gurgaon

Build and ship core AI interface platform components connecting AI agents and developers to MongoDB (MCP Server, Agent Skills, Intelligent Assistant Platform). Define architecture, implement scalable backend services, own ambiguous projects end-to-end, mentor engineers, participate in on-call rotation, and collaborate across research, product, and design.

Perform requirements analysis, create test plans and cases, prepare test data, execute functional and regression testing, manage defects in Zoho Sprint, and conduct root-cause analysis. Validate databases with SQL and APIs using Postman and Swagger. Prepare quality reports and metrics, collaborate with developers, support releases, and identify AI opportunities to improve QA productivity. Automation experience with Playwright, Java, TestNG, Maven, scripting, and CI/CD is preferred.

Lead global quality engineering for Aladdin platforms with an automation-first, AI-enabled strategy. Own test framework architecture (UI, API, backend), drive cloud-native and distributed-system testing, embed AI for test generation and triage, ensure regulatory/audit readiness, and lead/mentor large cross-functional QA teams while remaining hands-on in delivery.

Develop and integrate scalable SAP BTP solutions using CAP, RAP, APIs, SAP HANA Cloud, and enterprise integration patterns. Build AI-ready SAP services, including MCP servers, and connect AI solutions with SAP applications and enterprise data platforms. Lead client engagements, technical specifications, architecture, estimations, quality reviews, incident and change management, risk escalation, and status reporting. Mentor junior team members, collaborate with SAP functional consultants, and ensure secure, reusable solutions aligned with clean core principles and service-level agreements.

Lead design, customize, and implement ServiceNow ITSM, Service Portal, and ITOM solutions. Perform integrations (REST, SOAP, MID Server), Discovery and CMDB maintenance, and develop/optimize scripts. Run workshops, mentor junior developers, and participate in Agile delivery to translate client requirements into scalable ServiceNow solutions.

Leads customer engagement and AI domain architecture for a bank, defining target-state architectures, AI-first roadmaps, governance frameworks, and enterprise technology strategies. Designs secure, scalable CRM, digital, data, workflow, and core-platform solutions using Dynamics 365, Power Platform, cloud, microservices, and AI. Provides design authority, oversees architecture reviews, drives modernization and automation, influences senior stakeholders, develops investment cases, and promotes DevOps and architectural excellence.

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.

Develop and maintain AI-assisted development capabilities for the Eclipse-based SmarTest semiconductor testing environment. Integrate and optimize GitHub Copilot, resolve Eclipse and integration defects, implement customer-specific features, and perform testing and quality assurance. Translate customer requirements into technical solutions, provide technical assistance, evaluate changes in AI and Eclipse technologies, and collaborate with Microsoft, Advantest teams, and external partners to improve developer productivity and user experience.

Lead post-launch operations for Sales AI applications, ensuring availability, performance, security, governance, support readiness, and continuous improvement. Establish incident, problem, change, release, and lifecycle processes; monitor service and adoption metrics; develop automation, observability, self-service capabilities, and production-readiness practices. Partner with Sales, Product, Engineering, Data, Security, and IT teams to improve user experience, platform reliability, adoption, and business value.

Designs, develops, and operates Java-based cloud-native applications on GCP. Builds RESTful APIs, AI-enabled capabilities, secure services, CI/CD pipelines, infrastructure-as-code, and observability practices. Troubleshoots production issues, performs root-cause analysis, supports compliance and secure engineering standards, and collaborates with DevOps, QA, product management, and security teams. Participates in architecture reviews, code reviews, technical documentation, and shared engineering standards.

Design and maintain scalable Java and Spring Boot backend services, REST APIs, microservices, and event-driven systems. Build cloud-native applications using Docker, Kubernetes, and AWS while ensuring reliability, security, observability, and performance. Use AI-assisted development tools for coding, testing, debugging, documentation, and reviews. Participate in architecture discussions, production support, incident response, and on-call rotations. Collaborate across engineering and product teams and mentor other engineers.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify financial user journeys, and apply on-device ML where it improves UX.

Build and ship native Android features in Kotlin and Jetpack Compose; integrate REST APIs; improve performance, crashes and memory; collaborate with product/design; use analytics and on-device AI (TensorFlow Lite) to enhance user journeys for insurance and financial services.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

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

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.

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.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

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.

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.