Top Artificial Intelligence Jobs in Gurgaon

Lead the design, development, testing, and operation of scalable Python backend services and distributed systems. Responsibilities include architecture, APIs, data pipelines, event-driven systems, CI/CD, cloud-native technologies, observability, troubleshooting, technical roadmaps, documentation, and cross-functional collaboration. The role also provides technical leadership, applies AI-assisted development, supports production systems, and advances engineering practices across Agile and SAFe environments.

Designs, develops, tests, maintains, and optimizes Java applications throughout the SDLC. Builds microservices and REST APIs, supports Azure and CI/CD environments, troubleshoots production issues, collaborates with engineering and QA teams, and develops AI solutions to improve products and organizational efficiency.

Designs and oversees enterprise software architecture, development, testing, implementation, and technical documentation. Partners with stakeholders and Product teams to define requirements, evaluate technologies, create scalable solutions, review code, support application integrations, and guide development teams. The role also coordinates technology projects, training, system improvements, security, quality, and extensibility while providing technical support for case and client efforts.

Design, build, test, deploy, and maintain secure, scalable software and microservices across the full development lifecycle. Modernize infrastructure on Google Cloud, develop Java and Spring Boot APIs, improve engineering automation, optimize delivery pipelines, and apply AI and machine learning techniques. Translate market risk requirements involving market data, VaR calculations, and time series data into robust technical solutions while collaborating with engineers, architects, and business analysts.

Designs, develops, tests, deploys, and supports robotic process automation workflows using Microsoft RPA and related tools. Responsibilities include process design, automation architecture, coding, documentation, quality assurance, code reviews, enforcing standards, mentoring junior developers, and resolving browser or client compatibility issues. The role supports client automation solutions and may involve rotational shifts.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.

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.

Design and build scalable AI agents, data pipelines, ETL/ELT processes, microservices, and data federation layers. Develop generative AI solutions using Google ADK and LLMs, integrate agentic AI tools, and support Data Mesh and cloud-native architectures. Ensure data quality, security, scalability, and regulatory compliance while advancing engineering standards and business-focused analytics platforms.

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 and maintain scalable React frontend applications using TypeScript, JavaScript, Redux Toolkit, and modern React patterns. Architect reusable component systems, build accessible responsive interfaces, integrate REST and GraphQL services, optimize performance, and create automated tests. Collaborate with product, UX, backend, and architecture teams. Use AI-assisted development tools for coding, refactoring, debugging, and documentation while following Agile SDLC practices. Preferred experience includes CI/CD platforms, cloud deployment, micro frontends, and integrating generative AI capabilities.

Design and implement scalable enterprise full-stack applications using Java, Spring Boot, microservices, modern frontend technologies, AWS, Python, and AI capabilities. Lead architecture, system decomposition, integrations, resilience, security, observability, CI/CD, and deployment automation while contributing hands-on code. Collaborate with global engineering, product, and business teams to deliver secure, reliable, cloud-native solutions.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

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.

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.

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.

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 and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

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.

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.

Designs and maintains scalable data pipelines, platform infrastructure, and backend services supporting AI Agent systems. Builds monitoring, alerting, observability, and data-quality capabilities while integrating distributed systems, databases, and message queues. Collaborates with AI, product, DevOps, frontend, and QA teams, and supports existing services to ensure stability and continuity.

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.