Top Artificial Intelligence Jobs in Pune

Design, develop, and improve software solutions while collaborating with cross-functional teams and adhering to security policies and coding practices.

The Lead Engineer - Applied AI will design, develop, and improve scalable software solutions using advanced AI frameworks and cloud technologies. Responsibilities include code quality assurance, team collaboration, risk management, and aligning projects with business objectives.

The Staff Engineer-Applied AI role involves designing, developing, and improving software solutions, leading GenAI and Agentic AI projects, collaborating with teams, and ensuring code quality and security compliance.

Lead product vision, roadmap, and delivery for AI/LLM applications. Translate business needs into technical specs, oversee Python/REST/LLM development, coordinate cloud/Docker deployments, monitor performance metrics, and drive cross-functional stakeholder alignment and adoption.

As a Senior Technical Product Manager, lead the development of Autodesk's Knowledge Retrieval Platform, improving discoverability and AI functionality across products. Manage product lifecycle, promote customer value through rapid prototyping, and work with teams to articulate platform value. Define and track relevant quality metrics and manage the product roadmap.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

The Senior Backend AI Engineer will design and implement AI-driven content ingestion and transformation pipelines, ensuring high-quality data extraction and normalizing processes, while mentoring other engineers and enhancing backend APIs.

The role involves developing and optimizing a scalable RAG workflow, implementing AI agents, and enhancing pipelines through collaboration while ensuring system performance and accuracy.

Develop and maintain solutions using Microsoft Power Platform, integrating with Dynamics 365, and providing technical support while collaborating with teams to automate business processes.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The AI Prompt Engineer II will design, build, and optimize prompting systems for large language models, develop evaluation frameworks, and improve user interactions while collaborating across teams to enhance AI-driven workflows.

The MarTech Automation Engineer will oversee MarTech administration, campaign processes, and automation efforts, focusing on integrating AI tools and optimizing lead management with Marketo and Salesforce.

Drive global People Tech projects and AI capabilities. Oversee implementations and redesign processes ensuring integrations and high data integrity while enabling a data-driven culture.

The position involves building and owning product surfaces across the entire stack, mentoring engineers, and making infrastructure decisions for AI-focused projects.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

Review and assess content alignment with guidelines, ensuring quality and consistency in annotations across various types of content as part of a data annotation project.

The role involves reviewing and evaluating content based on guidelines, ensuring quality and consistency across annotations in a data annotation project for AI models.

Evaluate and annotate content according to guidelines, ensuring quality and consistency across tasks for an AI data project.

The AI GTM Engineer will design and develop AI agents for go-to-market operations, automate workflows, and ensure data integrity in marketing and sales processes.

Develop and maintain AI models and algorithms, collaborate with AI Architects and Data Engineers, and ensure the scalability and efficiency of AI solutions.

The AI Engineer will design and develop applications using LLMs, implement multi-agent workflows, optimize RAG pipelines, and contribute to full-stack development, collaborating with teams across regions.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

The AI Data Expert position involves evaluating AI outputs, generating content, and providing annotations to enhance AI training, all while considering cultural context. This role requires detail-oriented analysis, native language fluency, and strong English command.