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.

Develop scalable chatbots and virtual assistants, integrate AI and NLP, collaborate with teams, and enhance chatbot performance through testing and monitoring.

The AI Solutions Senior Consultant manages end-to-end AI solution delivery, client relationships, business development, and mentorship of junior consultants, driving innovative AI solutions aligned to business needs.

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.

Develop and maintain AI developer-facing artifacts, provide technical guidance to teams, promote inner-source practices, and support modern developer tooling.

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.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

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.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

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 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.

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.

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

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

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

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

The AI Engineer will optimize and maintain AI-driven services on the Sootra platform, focusing on LLM/VLM pipelines, API management, and production stability.

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

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

As a Lead Generation Specialist, you'll identify and qualify high-potential prospects in the Web3 and AI domains, employing outreach methods, CRM management, and market research to drive business development.

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 engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

Design, build, and scale AI-powered automation workflows using n8n and similar tools. Integrate systems via APIs/webhooks, connect CRMs/marketing/databases/AI models, ensure scalability and reliability, debug and monitor automations, and document solutions while collaborating with business stakeholders.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.