Top Artificial Intelligence Jobs in Pune

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

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 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.

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 an AI & Software Engineer, develop and integrate software components for AI applications, deploy AI solutions, and ensure software quality in cloud environments.

As an AI & Software Engineer, you will develop and integrate software for AI applications, support deployment, and maintain data quality, with a focus on optimizing energy production and processing.

The Senior Software Engineer will develop and enhance products in a Big Data environment, focusing on full stack development using Elixir, React, and GraphQL APIs. Responsibilities include architectural design, feature development, and collaboration in an agile team setting.

The Senior System Software Engineer will work on AI solutions for Windows PCs, improving GPU performance and optimizing AI models for edge devices.

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.

As an Applied AI Engineer, you will build and maintain systems for AI agent behaviors, integrate applications, and ensure reliability and user feedback mechanisms.

Develop and maintain front-end applications, design scalable APIs, model data with relational databases, integrate Gen AI features, and contribute to system design in an agile team setting.

The Multi Modal AI Senior Developer will build creative AI solutions and workflows using Generative AI across various content types. Responsibilities include designing web apps, integrating AI services, and developing custom workflows for creative automation within strategic product solutions.

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.

As a Senior Software Engineer in Applied AI, design and develop scalable AI applications, operationalize LLMs, and drive innovation in a dynamic team setting.

Design and develop AI solutions for business challenges, manage data pipelines, and implement machine learning at scale, ensuring high-quality deliverables.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

The role involves developing and deploying enterprise-grade GenAI applications, focusing on model training, optimization, and cloud or on-premises deployment.

The AI Technical Lead will architect scalable, AI-driven applications, mentor teams, engage with customers, and contribute to product strategy.

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

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