Top Artificial Intelligence Jobs in Mumbai

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

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.

Contractor role to create original, high-quality financial documents (reports, analyses, models) with rich visuals (tables, charts, graphs) to train AI. Ensure accuracy, anonymize sensitive data, contribute long-form documents (10–100 pages), and clarify submissions as needed.

Remote contractor role to create and evaluate mathematical problems, proofs, and datasets to train and improve AI models. Assess AI-generated solutions for correctness, produce technical documentation, and collaborate with cross-functional teams to develop benchmark datasets and provide actionable feedback to improve model reasoning.

The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.

Manage multilingual data collection and Large Language Model evaluation projects, ensuring quality assurance and effective global team coordination.

Develop, deploy, and scale AI/ML and generative AI solutions for a fintech platform. Design data models and pipelines, build agentic frameworks, integrate OCR and vector DBs, implement RAG, and champion MLOps and cloud deployment practices while mentoring teammates.

Design, scale, and maintain Salesforce Flow and orchestration workflows to automate seller, recruiter, and ops tasks. Implement Agentforce and AI-driven next-best-action processes, build repeatable automation frameworks across service lines, identify data quality gaps, create SLA triggers/escalations, run experiments, and maintain documentation and governance.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Design and prototype scalable, skill-aligned technical learning experiences (primarily AI/ML, CS, Data Science). Collaborate with SMEs, vendors, and cross-functional teams to produce vendor-ready deliverables, build design systems, create robust assessments, and leverage GenAI and tooling to improve quality and scalability.

The Forward Deployed Senior Software Engineer will lead initiatives in building custom solutions and algorithms for healthcare data, collaborating with various teams to enhance customer experience and project delivery.

Lead design, build, and scale production-grade Generative AI applications using LLMs, RAG, LangChain, vector databases, and agentic systems. Own AI orchestration, containerized Kubernetes deployments, CI/CD, data ingestion from enterprise sources, monitoring for high uptime, and governance/compliance to deliver measurable business impact and reusable AI accelerators.

Own product areas in BJAK's AI Neobank app (insurance, payments, savings, investing, travel). Define problems, scope, success metrics and roadmaps; collaborate with engineering, design, data, ops, compliance and business teams; launch features, monitor performance, run experiments and iterate to improve user experience and business impact.

Lead product direction and roadmaps for major areas of BJAK's AI neobank app. Own prioritization, execution, launch quality, and metrics across multiple squads. Guide PMs, designers, and engineers, turning regulatory and operational constraints into practical product decisions across payments, savings, investing, insurance and travel.

Perform in-studio Urdu recordings (~2+ hour session) of scripted content across emotional tones, follow live direction, maintain consistent vocal quality, and deliver approved takes for a one-time paid AI voice dataset project.

Record scripted Hindi lines in-studio (approx. 2+ hour session), deliver multiple emotional tones and precise pronunciation, take direction, and maintain consistent vocal quality for AI voice dataset capture.

Attend a scheduled in-studio session in Bengaluru to record ~2 hours of processed audio across scripted conversational, professional, and customer-support material. Deliver multiple emotional tones, take live direction, maintain consistent vocal quality, and sign an NDA. Freelance, one-time paid engagement with a fixed payment after approval.

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.

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.

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.