Top Artificial Intelligence Jobs in Kolkata

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

As a Senior Principal Software Engineer, you'll lead backend architecture, mentor teams, and drive Agentic AI implementation while ensuring scalability and reliability.

Lead and scale an engineering team building Coinbase's Help Center and AI-assisted automated chat resolution. Drive technical strategy, architecture, roadmaps, SLAs, experiments, and cross-functional collaboration to improve resolution rates, safety, compliance, and operational reliability while coaching and hiring engineers.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

As a Senior Full Stack Software Engineer at TRM, you will design and build AI-powered internal applications, collaborate with stakeholders, and manage end-to-end projects.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

Lead the design and development of AI-powered applications, optimize AI models, and develop scalable systems while collaborating with cross-functional teams.

The role involves owning the entire software development lifecycle, leveraging AI for product strategy, design, implementation, and quality assurance. You will work as a self-contained unit, building products from scratch while ensuring quality and scalability.

The Python AI Developer will create and enhance generative AI models, collaborate with teams, conduct tests, monitor performance, and stay current on AI trends.

Design, build, and scale AI-powered automation workflows using n8n and similar tools. Integrate systems via APIs/webhooks, connect CRMs/marketing/databases/AI models, ensure scalability and reliability, debug and monitor automations, and document solutions while collaborating with business stakeholders.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

The Engineering Manager - AI Growth leads engineering for AI product adoption and growth, managing monetisation tech and collaborating across teams for product success.

Lead the design and implementation of data infrastructure for analytics and AI; manage ETL solutions and Master Data Management; mentor data engineering team.

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 Engineering Manager will lead Generative AI teams, focusing on AI solutions for conversations, workflows, voice, support, and platform development, while mentoring engineers and driving performance and innovation.

Design and build AI data architecture and APIs with Python/Django; manage SQL, MongoDB and Pinecone vector databases; integrate and optimize AI models, context/prompt builders; collaborate with leadership and engineers; research AI/data engineering advancements.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

Lead the architecture and development of AI-driven scheduling systems, mentoring engineers and creating optimization models for resource management.

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.