Top Artificial Intelligence Jobs in Kolkata

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.

Develop and build scalable AI Agents and backend applications, mentor teammates, and participate in Agile development processes.

As a Senior Software Engineer, you will build AI-powered solutions, develop reusable components, mentor teammates, and ensure the performance of backend services.

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.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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.

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

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.

The Principal Software Engineer will lead the AI/ML platform team, architect systems, mentor engineers, and ensure efficient AI solutions throughout GoDaddy.

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 a Senior AI Engineer, you'll build ML/AI algorithms for data-driven search and recommendation systems, focusing on productization and deployment in a fast-paced environment.

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

The Expert AI Software Engineer will leverage expertise in React, TypeScript, and Python to develop AI-driven applications, focusing on backend API design and database management.

The Staff Backend Engineer at DataRobot will design and develop scalable platforms, manage microservices automation, and lead team initiatives while mentoring engineers.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The Staff Engineer in Generative AI will design AI solutions, implement Generative AI frameworks, and translate client requirements into technical specifications while ensuring scalability, security, and adherence to best practices.

The Staff Engineer leads Generative AI development by translating client requirements into technical designs, defining architecture, and ensuring compliance with best practices.