Top Artificial Intelligence Jobs in Gurgaon

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The Agentic AI Specialist will leverage AI tools like GitHub Copilot and LLMs to enhance coding efficiency, develop AI solutions, and train teams while ensuring security compliance.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

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.

Design and deliver high-performance solutions using Java and Microservices. Lead architecture discussions, mentor teams, and drive AI adoption in SDLC.

The Cloud Platform & AI Engineer will enhance cloud automation, security, and AI capabilities while designing frameworks for public cloud infrastructure and ensuring secure cloud adoption.

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 Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

The role involves leading the development of backend systems and APIs, improving system architecture, mentoring engineers, and enhancing Agile practices.

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

Support AI and DevOps platforms ensuring stability and performance, coordinating operational activities, and collaborating with cross-functional teams for incident management and platform improvements.

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.

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 design, development, and deployment of AI-powered applications, focusing on system architecture, generative AI, production engineering, and model optimization.

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

Orion Innovation seeks a Developer to support various clients in transformation and product development across diverse industries. Responsibilities include coding, debugging, and collaborating with teams to achieve project goals.

The Gen AI Developer Specialist will work with deep learning frameworks and develop applications using Gen AI, FastAPI, and ReactJS, among other technologies.

Design and develop AI agents with multi-step reasoning, build workflows, integrate with various platforms, monitor and optimize performance, and collaborate with teams to implement AI solutions.

The Senior QA Automation & AI Testing Engineer will lead Atrium's QA automation strategy, designing testing frameworks and implementing AI-driven testing practices while collaborating with cross-functional teams.

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 Engineering Manager leads platform administration and operations, oversees integration of AI tools, ensures governance, and provides user support while managing technical deployments and documentation.

The role involves building AI-accelerated testing systems to enhance software quality through automated test generation, execution, and validation across various platforms.

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.