Top Artificial Intelligence Jobs in Hyderabad

Design and build cloud-native applications integrating AI/ML models using Python and Next.js/React; collaborate in an Agile environment and optimize performance.

Design, develop, and maintain Python-based APIs and event-driven backends for a voice conversational AI application while integrating various voice APIs and managing databases.

Design and develop scalable web applications with AI/ML integrations, optimize performance, and collaborate with data scientists on AI models.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Zenoti is looking for a Lead/Staff Full Stack Engineer to design and develop scalable architecture for their beauty and wellness platform, utilizing advanced technical skills and AI development tools.

The Gen AI Engineer is responsible for designing and developing AI agent workflows, leading code reviews, integrating with enterprise systems, and ensuring robust, secure implementations.

The DevOps AI Engineer will build and manage scalable DevOps pipelines using Azure, handle AI system deployments, and collaborate with AI and software teams for high-availability solutions.

As a Principal QA Engineer, you'll ensure quality and security of AI services, design testing frameworks, and mentor junior testers in a collaborative Scrum team.

As a Staff Software Engineer, you will lead projects, drive technical standards, and build accessible AI/ML tools on the Gradient Platform using various technologies.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Develop and deploy AI agents using Aisera's platform, integrate with external systems, and provide technical support for successful implementations.

As an AI Integration Engineer, you'll lead the deployment of ServiceNow and Workday connectors, troubleshoot integration issues, deliver customer workshops, and collaborate with product teams to enhance connector performance.

The Senior QA Engineer will design and execute test cases, maintain automated test scripts, and validate AI model outputs while collaborating with various teams.

The role involves developing AI performance tools for large-scale systems, conducting performance studies, and automating performance analysis for optimization.

As an AI Process Automation Engineer, you will design and develop AI-driven automation tools, collaborate with teams to optimize processes, and create integrations and workflows using scripting and automation frameworks.

The AI Support Engineer provides customer support for DataRobot's AI platform, troubleshoots complex issues, collaborates with teams, and documents solutions.

Lead the architecture and implementation of scalable Generative AI solutions. Collaborate with teams to convert business needs into AI-driven designs. Oversee production-quality Python code and ensure deployment on cloud platforms.

Design, develop, and scale AI-enabling platform services and public APIs as part of a Scrum team, ensuring security, reliability, and performance in a cloud-native environment.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

The Lead SDET will develop and maintain automated testing frameworks and tools, primarily for data integration and non-functional testing within financial applications, while also mentoring junior SDETs.

The Sr Gen AI Engineer will develop and implement AI-driven solutions, collaborating on projects focused on Generative AI in supply chain and retail.

Lead the design and development of AI platforms, focusing on backend systems with Python, API development, and AWS AI services. Mentor engineers and ensure best practices in system architecture and performance.

Lead Automation initiatives, mentor engineers, drive technology evaluation, develop KPIs, and collaborate across teams to enhance IT operations and testing for AI systems.

Design and build high-scale, secure banking systems and agentic AI features for payments; collaborate across teams and mentor junior engineers.