Top Artificial Intelligence 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 role involves developing AI solutions, integrating LLMs, and enhancing investment workflows, requiring strong software engineering and collaboration skills.

The Senior Software Engineer will develop AI-integrated products with Javascript and Typescript, contribute to web application deployment, and ensure code quality within a dynamic team.

As a Senior Software Engineer, you will lead the development of AI applications, focusing on architecture, system design, model optimization, and collaboration with cross-functional teams.

As a Senior AI Product Engineer, you'll build and ship production-ready AI systems, focusing on customer problems and iterative development. You'll design scalable systems, collaborate effectively with teams, and continuously learn and apply cutting-edge AI models, impacting enterprise operations directly.

The Senior Engineer AI will design, build, manage AI applications, optimize models, and collaborate with product teams, focusing on end-to-end systems and functionalities.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

The Senior Python Developer will build automated Databricks environments for AI/ML workloads and develop a Python-based monitoring and alerting ecosystem for AWS resources.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

Build, deploy, and operate production AI platforms: productionize LLM/SLM APIs, fine-tune and serve Hugging Face models, containerize services, manage cloud deployments, CI/CD, monitoring, scaling, and cost optimization.

Lead end-to-end large-scale ERP transformations, own executive client relationships, run governance forums, manage delivery risk, margins and program financials, oversee offshore teams, and drive account growth and retention.

Lead the AI strategy and transformation to improve customer experience. Drive product development, collaborate with global teams, and manage AI initiatives.

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.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

The Solutions Engineer will develop AI agents, configure automations, lead technical onboarding for enterprise customers, and deliver BI reports to enhance customer success.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The Ecosystem Growth Manager will drive growth by onboarding GPU providers, attracting AI developers, and establishing partnerships for AIVM's decentralized cloud infrastructure.

The role involves community building, brand development, strategic sourcing, and establishing relationships to attract talent in finance, healthcare, and law.