Top Artificial Intelligence Jobs in Pune

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

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.

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.

The QA Engineer will ensure the quality and functionality of GenAI agents by designing test plans, automating testing, and collaborating with AI Engineers. Responsibilities include creating and executing test cases, validating outputs, and facilitating defect triage within an Agile environment.

Develop and deploy scalable Generative AI systems, integrating APIs and services while collaborating with data scientists and ensuring security and performance.

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.

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 role involves developing AI performance tools for large-scale systems, conducting performance studies, and automating performance analysis for optimization.

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.

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

Join the AI Innovation team as a backend Python developer. Design, code, and maintain AI-driven applications while collaborating with product management and driving coding best practices.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

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

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

As a Software Engineer, you will lead the SDLC, design architecture, write clean code, and mentor teams while collaborating across domains.

Develop AI workflows and oversee systems that automate complex processes. Mentor junior engineers and collaborate with teams for AI implementation strategies.

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

The Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

As a Senior Principal Software Engineer - AI, you will architect and develop AI applications, collaborate with teams, and optimize AI solutions in a fast-paced environment.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions with a focus on prompt engineering, machine learning, and cloud services. Responsibilities include collaborating with cross-functional teams, defining technical requirements, and ensuring best practices in architecture and design.

The Senior Staff Engineer, Generative AI is responsible for architecting and implementing scalable AI solutions, primarily focusing on generative AI, and ensuring high-quality code and deployment on cloud platforms.

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