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.

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.

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.

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

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.

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

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

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

Design and develop scalable cloud platforms, advocate for agile methodologies, and support software engineers. Requires 7+ years experience in distributed systems.

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.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.

Lead the architecture and development of Genesis AI for Expedite Commerce. Design and scale cloud-native, serverless architectures using AWS and integrate with Salesforce and enterprise ecosystems, while ensuring scalability and measurable outcomes.

Develop and maintain a real-time voice AI platform using Python. Focus on building systems for high concurrency, API design, and collaboration with ML teams.

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.