Top Artificial Intelligence Jobs in Kolkata

As a Software Engineer III, you will design and implement software solutions, ensuring quality and stability, while analyzing data and contributing to team culture.

Lead and grow the Applied AI team, providing engineering leadership and product guidance for AI agents in physical operations. Drive team performance and collaborate with cross-functional teams to ensure product reliability and user value delivery.

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.

Lead the technical evolution of a SaaS platform, driving design, development, and mentoring engineers while ensuring scalable and secure solutions.

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

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Lead the architecture and development of an AI-based SaaS platform, integrating AWS services and Salesforce to create scalable, reliable, agent-powered solutions.

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

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 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.

Design and develop AI applications integrating LLMs and RAG frameworks, leveraging .NET and Azure services to deliver innovative solutions.

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

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As a Senior Business Process Automation Engineer, you will design and implement intelligent automation solutions, improve operational efficiency, and collaborate across teams to reduce manual work in a fast-paced environment.

Lead the design of distributed systems and ML infrastructure, drive innovation in AI and Big Data, mentor engineers, and ensure high-performance solutions.

The Senior Engineering Manager will lead innovation in AI-driven networking solutions, manage engineering teams, and oversee the full software development lifecycle, with a focus on Big Data and machine learning technologies.

The role involves leading software development for AI-driven network management, innovating ML solutions and collaborating on real-time ML platforms.