Top Artificial Intelligence Jobs in Mumbai

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Senior hands-on Technical Architect to design scalable Java/Spring Boot backend systems, integrate AI/LLM pipelines, lead production incident response, implement observability and CI/CD, and coordinate full-stack integrations across React and mobile platforms.

Design, develop, and deploy AI/ML models and pipelines for production. Integrate AI into product features, preprocess data, perform feature engineering, evaluate and monitor models, optimize performance, and collaborate with cross-functional teams to build scalable, production-ready AI systems.

Design and implement end-to-end generative AI solutions using LLMs and multimodal models. Build libraries, tools, and production integrations; perform research, code reviews, testing, deployment, and cross-functional collaboration. Focus areas include NLP, computer vision/audio, prompt engineering, model fine-tuning, and cloud deployment.

The IT Operations Engineer will manage AI and Data platforms, ensure operational health, lead incident resolution, and automate tasks while collaborating with engineering teams.

As a Technical Lead in AI, you will architect, design, and deliver enterprise-grade AI systems, focusing on Generative and Agentic AI, while mentoring engineers and collaborating with business stakeholders.

The role involves developing enterprise applications using Java and Spring, integrating AI features, mentoring junior developers, and collaborating with cross-functional teams.

Lead the development and deployment of AI solutions in computer vision and NLP, mentor engineers, and drive MLOps practices.

Seeking a Senior Applied Scientist to advance AI systems for decision automation and knowledge gathering, focusing on large language models and causal reasoning.

The AI Platform Engineer at Accrete will design and maintain scalable backend services, develop platform infrastructure, and collaborate with ML teams to enhance AI products.

The Integrated Designer will create digital and print content while collaborating with various teams to meet brand objectives, enhancing creative outputs.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

The role involves evaluating AI outputs, reviewing text, analyzing multimedia, and providing culturally relevant content in Kannada while ensuring quality and accuracy.

The role involves reviewing and evaluating AI-generated content, providing feedback based on cultural appropriateness and clarity, and ensuring high-quality deliverables for AI projects.

As an AI Expert, you will review and evaluate AI-generated outputs, correct text, analyze multimedia content, and ensure cultural appropriateness and accuracy in the outputs.

The role involves evaluating AI outputs, creating culturally relevant content, spotting issues, and providing structured feedback to improve AI models.

The role involves evaluating AI-generated content, reviewing text, creating annotations, and ensuring quality by applying cultural insights. Candidates must be detail-oriented and fluent in Assamese and English.

This role involves reviewing AI-generated content, ensuring cultural relevance, generating content, and providing assessments to improve AI models. Attention to detail and analytical skills are crucial.

Create high-performing video ads for digital platforms, lead editing and post-production, collaborate on concepts, optimize video for formats, and leverage AI tools for enhanced production.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, etc.), integrate LLM APIs, collaborate with stakeholders, troubleshoot and document solutions, and stay current on generative AI advances. Mandatory technical assessment required.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, TensorFlow) and integrate LLM APIs. Collaborate with stakeholders, troubleshoot and document workflows, and stay current on generative AI and automation technologies.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Architect and own an enterprise AI-ready data platform: design lakehouse/data-mesh models, ingestion (streaming and batch), semantic/knowledge layers, retrieval/vector infra, LLMOps, governance, observability, and CI/CD to serve conversational AI, agents, BI copilots and ML models.

Lead Data Engineer to design, build, and operate production data pipelines, retrieval/vector infrastructure, semantic/feature stores, and ML/LLMOps foundations. Drive CI/CD, governance, monitoring, and agent/data APIs for RAG, LLM, and predictive model workloads.