Top Artificial Intelligence Jobs in Hyderabad

Develop software applications primarily using Python, with basic knowledge of Java, and engage in AI projects.

The Software Engineer will work on backend development using Java, Spring Boot, and Microservices, with a focus on integrating Generative AI technologies.

This role involves leading a software engineering team to deliver Java full stack applications with a focus on Generative AI technologies.

Design and implement custom applications using Java and Python, build interactive UIs, and utilize AI tools while ensuring compliance with company policies.

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.

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

Manage and develop a software engineering team, ensuring adherence to architecture, driving technology strategies, and advocating for agile practices while overseeing project delivery and talent development.

This role involves leveraging AI, automation, cloud engineering, and advanced analytics to drive digital transformation and optimize business operations for clients.

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 AI Applications Engineer will design and enhance AI solutions and applications using the latest AI tools, focusing on backend development and enterprise solutions. Collaboration with cross-functional teams is essential to integrate AI technologies into Salesforce products.

As a Senior Software Engineer - AI, you will develop AI-driven software solutions, collaborate with teams, implement advanced AI systems, and mentor junior engineers.

Lead the development of cloud-native applications using Python and AWS, providing technical leadership and creating scalable solutions for enterprise-scale systems.

The role involves implementing compiler modules, developing production-grade components, performing optimizations, and mentoring junior engineers in a collaborative environment focused on edge AI solutions.

The Senior Software Developer will lead the architecture of data modeling and frontend applications, develop both frontend and backend features, and collaborate with product teams to deliver impactful software solutions.

Design, develop, and optimize full stack applications integrating AI models, implement microservices architectures, and provide technical leadership in a cloud environment.

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 role involves developing AI-driven backend systems, building APIs, and deploying solutions on GCP while collaborating with various teams. Responsibilities include optimizing performance and ensuring the reliability of services.

Responsible for designing, developing, and implementing complex software solutions with a focus on AI, collaborating with cross-functional teams, and mentoring junior engineers.

Lead the design and delivery of secure, scalable cloud-native solutions, focusing on AI strategy and data engineering within a regulated environment. Architect AWS-based solutions and drive the organization’s AI initiatives, ensuring compliance and engineering excellence.

The Agentic AI Engineer designs and builds cognitive architectures for AI agents interacting with ERP systems, focusing on autonomous decision-making and multi-agent coordination.

Design and build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers for real-world tools.

Lead the architecture and development of a cloud-native analytics platform, focusing on AI-driven data solutions and mentorship of a global engineering team.

The Senior Platform Engineer designs and implements core platform services, focusing on CI/CD pipelines and infrastructure automation while mentoring junior engineers and ensuring platform reliability and security.

The Senior Power Platform Engineer will implement AI solutions, integrate Microsoft Copilot, and develop low-code applications to enhance business processes and productivity.