Top Artificial Intelligence Jobs in Pune

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.

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

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.

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.

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.

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.

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

Develop AI-powered full-stack applications, integrating modern technologies and cloud-native tools, while collaborating with cross-functional teams.

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.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

Design, develop, and maintain Python-based APIs and event-driven backends for a voice conversational AI application while integrating various voice APIs and managing databases.

Lead software engineering teams to develop and maintain scalable web applications, ensuring engineering excellence and promoting agile practices while mentoring team members.

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.

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.