Top Artificial Intelligence Jobs in Mumbai

Lead delivery and scaling of generative AI data programs across multiple projects: capacity planning, vendor management, quality consistency, process automation, financial control, risk mitigation, client reporting, and team enablement.

Lead and scale portfolios of generative AI data programs (collection, labeling, evaluation). Manage capacity planning, vendor SLAs, quality consistency, process automation, budgets, risk, stakeholder reporting, and coach PMs/coordinators while ensuring data security and compliance.

Design, build, and deploy production-grade LLM, RAG, and agentic AI systems. Implement document intelligence pipelines, use LangChain/LangGraph/LlamaCloud, manage embeddings and vector DBs, and scale services on AWS/GCP/Azure with strong ownership.

Design, build, and deploy enterprise AI and automation solutions on Microsoft Azure and Fabric. Integrate LLMs, Copilot, RAG, vector DBs, and prompt engineering into applications. Build Medallion Architecture data lakes, ETL/ELT pipelines, and Power BI semantic models. Implement governance, security, and responsible AI practices across platforms.

Perform a single in-studio Gujarati recording session (~2+ hours processed audio). Record scripted conversational, professional, and customer-support material across emotional tones, take live direction, maintain consistent vocal quality, and deliver approved takes under NDA for an AI voice dataset.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

Freelance Tamil voice artist to record ~2+ hours of processed in-studio audio, performing scripted conversational, professional, and customer-support lines with varied emotional tones, taking live direction, maintaining consistent vocal quality, and signing an NDA. One-time paid session in Bengaluru.

Record a 2+ hour in-studio session of scripted Odia content across emotional tones, follow live direction, maintain consistent vocal quality, and deliver approved takes under NDA for a one-time paid project.

Record scripted Telugu voice material in-studio (≈2+ hour session), deliver multiple emotional tones, take live direction, maintain consistent vocal quality, and provide approved takes under an NDA for a one-time paid project.

Lead product strategy and architecture for Conversation AI, owning agent creation, deployment, evaluation, observability, integrations, pricing, and compliance. Partner with Engineering, AI, Design, GTM and operations to deliver dependable AI agents at scale, mentor PMs, and define metrics, testing, and release standards to ensure reliable business outcomes across millions of interactions.

Lead product strategy and platform architecture for HighLevel Voice AI. Define lifecycle, evaluation, quality standards, integrations (telephony, CRM, workflows), metrics, reliability, and commercial models. Partner cross-functionally with engineering, design, legal, GTM, and operations to ship dependable, scalable voice agents that handle inbound/outbound calls, transfers, actions, and observability across SMB and agency customers.

Lead architecture and design for multi-tier .NET and cloud-based products, drive POCs, define technology roadmaps, mentor engineering teams, ensure high availability, CI/CD and IaC best practices, and integrate AI/LLM solutions while delivering architecture documentation and stakeholder-aligned designs.

Internship role to design and build LLM-powered recommendation and agentic AI systems for financial and Web3 scenarios. Tasks include candidate generation, ranking, tool routing, post-training (SFT/RL), datasets and evaluation pipelines, prototyping agent workflows, and integrating prototypes into production with cross-functional teams.

Design and own architecture for production-grade Generative AI applications. Lead system design across backend, frontend (React), and AI infrastructure for LLM inference, RAG pipelines, and agent workflows. Define technical strategy, standards for prompt design, model integration, observability, and enterprise readiness (security, privacy, governance). Mentor teams, run POCs, review designs and code, and partner with product and business stakeholders to translate requirements into scalable AI solutions.

Lead architecture and delivery of production-grade Generative AI applications. Define technical strategy, design scalable LLM inference and RAG platforms, frontend AI UX, and reusable GenAI components. Ensure security, privacy, governance, and enterprise readiness while partnering with product and engineering teams and conducting POCs and technical reviews.

Build intuitive, high-performance React interfaces for AI-powered insurance workflows. Collaborate with design and backend teams, create reusable UI components and design systems, integrate frontend features with AI services (document review, entity extraction, quote comparison), rapidly prototype, and iterate based on user feedback.

Build and productionize AI features across frontend and backend: document review, entity extraction, quote comparison, embeddings and LLM integrations, prototype from customer feedback, and create scalable reusable systems for insurance workflows.

Lead design and delivery of RAG-based chatbot and AI solutions: architect scalable Python/Java systems, deploy and manage on AWS/Azure, mentor engineers, ensure quality, and research emerging AI methods.

Build and deploy production-ready GenAI systems (LLM, RAG, agentic agents) and document intelligence pipelines. Work with LangChain/LangGraph/LlamaCloud, embeddings and vector DBs, deploy on AWS/GCP/Azure, and apply ML/MLOps and model evaluation. Deliver fast, independent end-to-end solutions as a freelance/consultant.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Lead product strategy for HighLevel Knowledge Bases and Ask AI, defining architecture, ingestion, retrieval, evaluation, permissions, observability, and commercial models. Drive cross-team platform standards, onboarding, testing datasets, and integrations so AI assistants reliably retrieve context, invoke tools/agents, execute actions, and surface auditable, safe results for multi-tenant SMB customers.

Design, develop, fine-tune, and productionize ML and Generative AI/LLM solutions. Build end-to-end ML pipelines (data ingestion, modeling, deployment, monitoring), implement RAG and vector DB architectures, apply prompt/context engineering and MLOps best practices, and collaborate with cross-functional teams to optimize models for performance, latency, scalability, and cost.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.