Top Artificial Intelligence Jobs in Delhi

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 architecture, design, and implementation of AI systems. Collaborate with teams to develop AI features and evaluate model performance. Mentor engineers and oversee technical execution.

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.

The Senior Staff Engineer will design and implement scalable Generative AI solutions, leveraging advanced AI/ML techniques and various cloud platforms. Responsibilities include architecture, coding, and cross-team collaboration to meet technical requirements and deliver production-ready solutions.

The role involves architecting and implementing scalable Generative AI solutions using cloud services and AI/ML libraries, focusing on prompt engineering and RAG patterns. Responsibilities include translating client requirements into technical designs and collaborating with teams to ensure best practices.

The Senior Staff Engineer will architect and implement Generative AI solutions, lead projects, and ensure high-quality production deployment, leveraging extensive AI/ML expertise.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions, collaborate across teams, and ensure reliable production deployments. Responsibilities include technical design, development of AI pipelines, and refining solutions based on client requirements.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

The Engineering Manager - AI Growth leads engineering for AI product adoption and growth, managing monetisation tech and collaborating across teams for product success.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

SDE3 will build and scale Generative AI products, implement features end-to-end, design architecture, and lead development teams while ensuring high coding standards.

Seeking a Senior Backend Engineer for AI model serving; responsibilities include backend development, infrastructure optimization, and deploying TTS/NLP models.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

Lead the design, development, and implementation of AI-driven network solutions, guiding the full software development lifecycle and technical innovation.

Design and implement scalable distributed systems and ML services. Drive innovation in AI-driven network management and mentor junior engineers.

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.

The Engineering Manager will lead Generative AI teams, focusing on AI solutions for conversations, workflows, voice, support, and platform development, while mentoring engineers and driving performance and innovation.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

Seeking a Senior Staff Engineer with 10+ years of experience in generative AI, focusing on LLMs, prompt engineering, and deploying AI solutions. Responsibilities include understanding client requirements, mapping solutions, and ensuring architectural best practices.

The role involves designing AI/ML solutions, implementing generative AI applications, and collaborating on architectural decisions with teams to meet client needs.

The role involves owning the entire software development lifecycle, leveraging AI for product strategy, design, implementation, and quality assurance. You will work as a self-contained unit, building products from scratch while ensuring quality and scalability.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

Lead the development and implementation of scalable generative AI solutions, translating business needs into technical designs and ensuring production-grade performance using various AI technologies.