Top Artificial Intelligence Jobs in Pune

The Associate Software Engineer II translates business problems into technical specifications, designs Salesforce solutions, mentors teams, and ensures effective delivery in a scale-agile environment.

The AI Platform Engineer II will design high-performance prompts, develop custom AI agents, integrate LLM functionality, and optimize AI features across platforms.

The Principal AI Engineer will manage ML production systems, develop data pipelines, ensure data quality, and mentor junior engineers while fostering collaboration across teams.

The Senior AI Security Engineer will ensure the security of AI/ML systems, perform threat modeling, lead incident response, and establish secure architectures while collaborating with various teams.

The Solution Architect will lead technical strategy and delivery for IoT projects, managing client relations, and developing a technical team while overseeing implementation and analytics solutions.

Develop scalable applications and intelligent systems using .NET or Python, integrating LLMs with enterprise data, and optimizing AI solutions.

As a Senior Staff Software Engineer at Coinbase, you will lead AI infrastructure projects, write high-quality code in Python and Golang, mentor team members, and enhance system reliability and scalability.

As Engineering Manager for the AI Platform at Coinbase, you'll lead a team in architecting and developing a robust platform for LLM use cases while mentoring engineers and optimizing ML infrastructure.

As a Senior Software Engineer, you'll design and develop Generative AI applications, lead implementations, mentor engineers, and ensure quality and performance standards are met.

Lead AI Developer and DevOps position focusing on AI model development, deployment, and infrastructure management using various ML and cloud technologies.

Design and develop web applications using C# and ReactJS. Mentor junior developers, ensure code quality, and collaborate with various teams. Optimize performance and maintain technical documentation.

The Multi Modal AI Senior Developer will leverage Generative AI for creative content generation across various modalities, integrate AI services and develop web applications, while optimizing workflows and collaborating with cross-functional teams.

Develop AI performance tools for large scale AI systems, automate data analysis, conduct performance studies, and support deep learning engineers.

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

Develop and maintain a real-time voice AI platform using Python. Responsibilities include designing APIs, implementing observability, collaborating with ML teams, and ensuring system performance. Focus on building resilient systems capable of handling high concurrency and real-world edge cases.

The role involves architecting and developing multi-agent AI systems, optimizing distributed inference systems, and integrating advanced AI technologies.

The Principal Software Engineer will architect and develop AI applications, define AI strategies, fine-tune language models, and drive innovation in production environments. They'll collaborate across functions while ensuring scalable and resilient AI solutions.

The role involves designing and building scalable systems using Java, Python, and Angular, leading technical decisions, and improving CI/CD processes.

Develop AI-driven features and systems, focusing on LLM fine-tuning and integration with third-party tools. Stay current with AI advancements.

Lead the architecture, implementation, and scaling of globally distributed systems for AI/ML and HPC. Drive reliability strategies and innovation at NVIDIA, mentoring global teams and contributing to cross-organizational efforts.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

The Generative AI Tester will validate AI-driven features, ensure model reliability, and drive testing workflows across enterprise applications, requiring over 5 years experience in software testing and 2-3 years in Generative AI systems.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

As an LLM Engineer, you will optimize large language models for user interactions, oversee algorithm development, manage datasets, and enhance product features.

The role involves designing scalable backend systems in Python, integrating AI/ML models, optimizing data pipelines, and collaborating with teams to deliver high-performance solutions.