Top Artificial Intelligence Jobs in Chennai

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

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.

As a Senior AI Engineer, you will design and implement scalable AI systems, mentor junior engineers, and ensure impactful, ethical AI solutions. Responsibilities include collaborating with stakeholders and fine-tuning generative AI models.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

Lead customer-facing SaaS implementations and onboarding, design and deliver custom REST API integrations, troubleshoot complex technical issues, communicate clearly with stakeholders, and drive long-term customer success.

Build and deploy autonomous AI agents and internal copilots that research, enrich, reason, and execute GTM workflows. Implement RAG with embeddings and vector DBs, integrate agents with HubSpot and internal systems, automate data pipelines and scraping, and own agent systems end-to-end from prototype to production.