Top Artificial Intelligence Jobs in Chennai

Design and build a production multi-agent harness and MCP integrations that operate across ERPs, CRMs, and business tools. Own end-to-end production concerns (reliability, observability, permissions, safe workflow execution), scope the product, make architecture decisions, and ship features working closely with CTO, product, engineering, and design. Stay current with agent frameworks and use tools like Claude Code in development.

Use a primary Google Workspace business Gmail account to evaluate AI-generated email responses for relevance, accuracy, helpfulness, and personalization. Compare outputs, identify incorrect personalization or unsupported assumptions, provide structured feedback per project guidelines, maintain confidentiality, and complete evaluations within project timelines.

This role involves applications development, system analysis, and programming, including consultation with users, project management, and leading agile teams.

The role involves developing, analyzing, and enhancing applications systems, supporting programming solutions, and ensuring compliance with laws and regulations while serving as a mentor to junior analysts.

The Senior Vice President will lead a development team for designing and implementing complex applications, focusing on technical excellence and fostering collaboration between teams. Responsibilities include architectural design, coding, and integrating AI capabilities into the systems.

Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.

Own and build production AI/LLM applications end-to-end: architect RAG and agentic systems, implement function/tool calling, optimise inference costs, run evaluation frameworks, deploy on Kubernetes, and integrate with third-party platforms while collaborating with product teams to improve quality, latency, and cost.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

Build and ship native Android features in Kotlin and Jetpack Compose; integrate REST APIs; improve performance, crashes and memory; collaborate with product/design; use analytics and on-device AI (TensorFlow Lite) to enhance user journeys for insurance and financial services.

Design, build and ship native Android features for an AI-enabled neobank using Kotlin. Integrate backend APIs, improve performance and reliability, collaborate with product and design to simplify financial user journeys, and apply on-device ML where it improves UX.

Investigate escalated production incidents (DB anomalies, failed payments, data migrations), write post-mortems and runbooks, and build AI-powered automation (LLM diagnostics, agents) plus developer tooling. Maintain CI/CD, GCP infrastructure, container deployments, observability, and partner on ERP and payment provider integrations.

Evaluate and improve AI-generated tax analyses by reviewing legal and tax documentation, analyzing statutory language, identifying compliance issues, contributing to tax AI datasets, and providing structured feedback while monitoring U.S. tax law updates.

Contractor role to review and analyze U.S. tax statutes, Treasury Regulations, and the IRC; interpret complex tax provisions and identify nuances; summarize tax concepts into structured insights; provide feedback to improve AI-generated tax responses; and collaborate with AI development teams while staying current on legislative changes.

Design and deploy AI-driven sales workflows that automate lead generation, qualification, outreach, and CRM orchestration. Integrate HubSpot, RingCentral, and middleware (n8n/Make/Zapier), build LLM-based agents and forecasting models, and document scalable playbooks to double lead handling without headcount increases.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

Responsible for leading end-to-end AI research projects, developing domain-specific models, mentorship, and optimizing research-to-production processes while collaborating across disciplines.

The Principal Applied AI Researcher will define and lead domain-specific model strategies, manage model lifecycle, mentor researchers, and influence platform decisions in AI research.

Develop and deploy production-grade Generative AI services using LLMs, RAG, embeddings and vector retrieval. Build APIs and microservices with FastAPI, integrate models and enterprise workflows, optimize model accuracy and latency, implement monitoring/logging/evaluation frameworks, and support cloud/Docker deployments.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

Lead the design process for AI-driven products, focusing on user-centered solutions. Mentor junior designers, collaborate with cross-functional teams, and ensure designs meet usability and accessibility standards.

The AI Product Manager will lead product discovery and strategy, prototype solutions using AI tools, perform competitive analysis, track product metrics, advocate for user experience, and collaborate with different teams.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The role involves reviewing AI-generated outputs, generating content, and ensuring cultural accuracy in various media formats. Attention to detail and analytical skills are essential.

Lead a team of engineers to evolve the architecture and strategy of the AI Search platform, ensuring high-performance search systems meet strict operational metrics, while nurturing talent and fostering a collaborative culture.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.