Top Tech Jobs & Startup Jobs in Chennai

Own the organization’s digital reputation across search engines, media, online platforms, and customer communities. Lead SEO, GEO, content strategy, digital PR, reputation monitoring, customer advocacy, and crisis-response initiatives. Improve page-one visibility, secure media placements, manage brand narratives, identify reputation risks, and track performance metrics. Collaborate with internal teams and senior leadership while adapting strategies to changing search algorithms, AI discovery, and digital trends.

Architect and build production-grade generative AI and agentic AI applications, including LLM workflows, multi-agent systems, RAG pipelines, APIs, and ML/GenAI infrastructure. Develop and optimize models, manage deployment and monitoring, apply responsible AI practices, and collaborate directly with customers. The role also involves mentoring engineers and shaping AI platform strategy.

Architects and builds scalable generative and agentic AI products from prototype through production. Designs LLM workflows, prompts, multi-agent systems, RAG pipelines, and APIs using LangChain and LangGraph. Owns ML and GenAI pipelines, including training, deployment, monitoring, and lifecycle management. Works directly with customers and cross-functional teams, promotes responsible AI, mentors engineers, and shapes AI platform strategy.

Lead global paid media strategy, budget allocation, campaign execution, audience development, attribution, experimentation, and performance optimization. Manage multi-channel campaigns across search, social, display, app, and affiliate channels while improving ROI, CAC, ROAS, LTV, and conversion. Partner with Data, Engineering, Product, Finance, Legal, and agencies; manage vendors and remote teams; report performance to leadership; and scale profitable customer acquisition and retention initiatives.

Evaluate datasets and AI-generated outputs for accuracy, relevance, consistency, and quality. Provide written feedback to improve AI system performance, follow project guidelines, support quality assurance, and communicate findings clearly. The role requires strong critical thinking, analytical reasoning, attention to detail, organization, and independent work in a remote environment. Prior AI experience is not required; data annotation, content evaluation, quality assurance, research, and AI project experience are preferred.

Own and scale an AI-powered product across frontend, backend, databases, infrastructure, and deployment. Build TypeScript, React, and Vite experiences; backend services; Vercel, Supabase, and PostgreSQL systems; AI-powered short-form content generation; internal workflow tools; and agentic integrations using MCP. Shape product and technical strategy, establish engineering standards, engage users, and eventually hire, mentor, and lead an engineering team.

Edit podcasts, events, social content, and showreels into polished short-form videos. Create motion graphics, animation, sound design, covers, thumbnails, and social posts. Direct AI-generated video and image assets using emerging creative tools, maintaining professional, on-brand quality. Help develop AI-native production tools and workflows while managing multiple projects, meeting deadlines, and communicating effectively in a fast-paced remote environment.

Own the architecture and delivery of production-grade generative and agentic AI systems, including LLM agents, RAG pipelines, multi-agent workflows, APIs, and cloud-native services. Establish AI engineering, evaluation, observability, guardrail, and LLMOps practices while mentoring AI/ML and backend engineers. Collaborate with Product, Data, Platform, Security, and Compliance teams to deliver scalable, secure, and business-ready solutions, and provide technical direction on GenAI strategy and architecture.

Evaluate and annotate physics content, create problem sets and technical documentation, and assess AI-generated responses for scientific accuracy. Contribute to dataset creation and provide expert feedback to improve AI model training. Collaborate remotely with project teams to ensure timely, high-quality deliverables and improve evaluation methodologies.

Contractor engineering SME to review and create technical engineering content for AI training: analyze documentation, develop examples and datasets, evaluate AI outputs for technical accuracy, and collaborate with teams to improve model performance and processes.