Top Remote Jobs in Hyderabad

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

The QA Engineer will design test strategies for AI applications, develop automated test frameworks, and conduct testing across multiple environments, ensuring quality and reliability for Fortune 500 clients.

As Technical Resource Manager, you will manage and mentor a technical team, ensuring delivery excellence and supporting development needs through training and programs.

The QA Engineer will lead a QA Automation team, establish best practices for testing, integrate tests into CI/CD pipelines, and ensure quality in product delivery while mentoring staff and managing complex testing processes.

Lead frontend development of scalable web applications using React, Next.js, and Micro-Frontend architecture. Oversee code quality, collaboration with teams, and deployment on Azure.

Design high-performance analog-to-digital and digital-to-analog converters, evaluate silicon, and oversee layout in advanced CMOS processes.

Design and verify high-performance digital and mixed-signal ICs, focusing on RTL design, behavioral modeling, and digital control circuits.

The Senior Digital Design Engineer will design, verify, and validate digital architecture for automotive and space applications, focusing on RTL and FPGA.

The D365 Business Central Implementation Manager leads implementation projects, overseeing functional delivery and managing a team of consultants while ensuring quality and compliance with Crowe's standards.

Develop and maintain scalable APIs and Kubernetes environments for machine learning models. Collaborate with teams to deploy and support AI solutions, ensuring stability and security through rigorous testing.

The Data Engineer is responsible for optimizing data architecture and pipelines, collaborating with teams to deliver data solutions, and building analytics tools for business insights.

The Senior Full Stack Engineer will design, implement, and maintain features for a SAAS platform, optimizing performance, ensuring security, and mentoring junior developers.

The AI Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.

The Senior Data Engineer will lead data architecture, mentor engineers, implement data solutions, and ensure data governance while collaborating across teams.

The Sr. DevOps Engineer will automate and optimize software and data delivery, manage CI/CD pipelines, implement IaC, and enhance operational efficiency.