Top Artificial Intelligence Jobs in Chennai

The AI Engineer is responsible for designing, validating, and supporting engineering processes, ensuring compliance with development plans and customer requirements.

The Sr. GTM AI Analyst will design, automate, and optimize systems to enhance Alation's revenue operations, utilizing AI and engineering skills to build effective workflows and integrations.

The role involves managing business transformations and using supply chain analytics to enhance performance. Responsible for building advanced analytics models and providing strategic advisory services.

The role involves leading full-stack development of the Agentic AI Platform, including backend and frontend implementation, technical design, and collaboration across teams.

As an AI / ML Engineer, develop applications utilizing AI tools and cloud services, ensuring production-ready solutions with quality standards.

The Generative AI Engineer will develop and deploy AI features by integrating LLMs, managing data pipelines, and implementing robust testing and performance tuning processes.

Responsible for developing and deploying AI-powered features, integrating LLMs, building data pipelines, and ensuring model output reliability through testing and optimization.

Design and implement Generative AI solutions utilizing LLMs, optimize RAG pipelines, and integrate AI solutions into production systems.

The AI/ML Engineer will design and implement GenAI solutions, optimize RAG pipelines, develop applications using orchestration tools, and integrate AI solutions into production systems.

Design and implement Generative AI solutions using LLMs, optimize Retrieval-Augmented Generation pipelines, and ensure scalability and security of AI systems.

The role involves developing, coding, and deploying AI features, including integration of LLMs, data pipeline building, and model optimization.

The Generative AI Engineer develops and integrates AI features using Python and TypeScript, implements databases, builds automated tests, and optimizes performance.

Build and deploy AI-powered solutions including LLM bots, RAG agents, super-resolution CV models, and data pipelines. Integrate LLM APIs, design workflows, develop ML/DL models, set up GPU training, maintain ETL pipelines, and implement REST API and automation integrations. Collaborate cross-functionally and document models, schemas, and deployments.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

Design, build, and operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.

Designs, builds, and deploys production-ready AI solutions using generative models and LLMs. Leads teams, architects cloud and on-prem AI pipelines, implements RAG and vector DBs, fine-tunes models, improves prompt and runtime performance, and integrates conversational and image-processing systems with business goals.

Design, build, and productionize AI/ML applications using LLMs and generative models. Lead teams, mentor juniors, integrate cloud or on‑prem pipelines, and implement deep learning, chatbot, and image-processing solutions to meet project goals and timelines.

Designs, builds, and deploys production-ready AI/ML applications and pipelines, integrating generative AI, deep learning, chatbots, and image-processing solutions on cloud or on-prem environments. Leads and mentors teams, coordinates cross-functional efforts, and drives technical decisions to meet project requirements.

Designs and implements production-ready AI/ML systems using generative models, LLMs, RAG and vector DBs; builds pipelines on cloud and on-prem, mentors team members, and integrates conversational and image-processing solutions.

Design, implement, and deploy production-ready AI/ML solutions using generative models, deep learning, and image/chatbot technologies. Lead technical decisions, mentor junior engineers, coordinate across teams, and manage cloud and on-prem AI pipelines to meet project requirements.

The role involves managing the modernization of legacy systems to Java microservices, leading a team, driving cost reduction, and adopting AI technologies.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Develop, fine-tune, deploy, and monitor generative AI models; contribute to prompt engineering, RAG integrations, data preprocessing, feature engineering, API development, and production workflows while collaborating with engineers, data scientists, and stakeholders.

Develop, prototype, and deploy real-time ML/DL and computer vision algorithms for semiconductor wafer inspection. Design and modify model architectures, train production-ready models, write efficient code and custom operators, and collaborate with cross-functional teams to deliver productized solutions.

Lead a small engineering team to deliver AI/GenAI use-cases from prototype to production. Contribute across front-end, back-end, and AI integration layers, build RAG/agent workflows, manage CI/CD and deployments, enforce coding standards, and ensure security, monitoring, and performance.