1087 Artificial Intelligence jobs in Mumbai

We are seeking an Engineering Graduate with a strong academic track record and 1–3 years of professional experience (preferably). The ideal candidate should bring not just technical knowledge, but also well-rounded soft skills—including strong communication, collaboration, and problem-solving abilities.

We value individuals who are:

Full of drive and ambition, with a proactive mindset.

Curious and adaptable, eager to explore new technologies and approaches.

Able to think critically and contribute to discussions with clarity and confidence.

Skilled in teamwork, with the ability to work effectively across cross-functional teams.

Resilient and self-motivated, thriving in a dynamic and AI-driven environment.

This role is best suited for candidates who aspire to grow in the AI and technology space, leveraging both their technical foundation and interpersonal strengths to deliver impactful solutions.

Job Description:

DailyBrief is one of India’s highest-rated news apps, dedicated to delivering reliable and insightful news to its users. We are now looking for an AI Specialist to join our team and drive innovation in building AI-powered solutions that improve user experience and optimize workflows.

Key Responsibilities:

• Design, develop, and deploy AI/ML models to enhance content curation, summarization, and personalization on the DailyBrief platform.
• Work with NLP (Natural Language Processing) techniques for text classification, topic modeling, and semantic search.
• Implement AI-driven recommendation systems to improve content delivery and engagement.
• Collaborate with product, editorial, and engineering teams to translate business needs into AI solutions.
• Research and integrate Generative AI tools (LLMs, transformers, embeddings) for content automation and summarization.
• Optimize models for accuracy, scalability, and efficiency in a production environment.
• Stay updated on AI trends and recommend new tools, frameworks, and best practices.

Skills & Qualifications:

• Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.
• 2–5 years of hands-on experience in machine learning, deep learning, or NLP projects.
• Strong knowledge of Python, TensorFlow/PyTorch, Hugging Face, LangChain, or similar frameworks.
• Experience with LLMs (GPT, LLaMA, Claude, etc.), fine-tuning, and RAG (Retrieval-Augmented Generation).
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) for semantic search.
• Exposure to data pipelines, APIs, and deployment on cloud platforms (AWS/GCP/Azure).
• Understanding of MLOps and model monitoring.
• Prior experience with news/media tech or unstructured text data is a plus.
• Contributions to open-source AI projects are an added advantage.
• Strong analytical, problem-solving, and communication skills.

What We Offer:

• Opportunity to build and scale AI-first products in the news & media domain.
• A collaborative and fast-paced startup culture.
• Freedom to experiment with cutting-edge AI tools.
• Competitive compensation with growth opportunities.

We are seeking an Engineering Graduate with a strong academic track record and 1–3 years of professional experience (preferably). The ideal candidate should bring not just technical knowledge, but also well-rounded soft skills—including strong communication, collaboration, and problem-solving abilities.

We value individuals who are:

Full of drive and ambition, with a proactive mindset.

Curious and adaptable, eager to explore new technologies and approaches.

Able to think critically and contribute to discussions with clarity and confidence.

Skilled in teamwork, with the ability to work effectively across cross-functional teams.

Resilient and self-motivated, thriving in a dynamic and AI-driven environment.

This role is best suited for candidates who aspire to grow in the AI and technology space, leveraging both their technical foundation and interpersonal strengths to deliver impactful solutions.

About the RoleWe’re looking for a passionate and experienced AI Faculty Member to join our growing Ed Tech team. This is an exciting opportunity for professionals who enjoy teaching, mentoring, and making complex AI concepts accessible and relevant to business contexts. You’ll deliver engaging live online sessions on weekends, helping adult learners and working professionals master the real-world application of Data Science and Artificial Intelligence.What You’ll DoDeliver engaging live online classes (via Zoom) on core AI and Data Science topics, including but not limited to:Data Analytics & VisualizationMachine Learning & Deep LearningGenerative AI & Agentic AI SystemsNatural Language Processing (NLP)Computer VisionAI Strategy & Business Use-CasesAI Ethics & Responsible AIAI in Digital TransformationData-Driven Decision MakingDesign and teach lessons that are practical, application-focused, and tailored to business relevance.Incorporate real-world case studies and examples to demonstrate the integration of AI into various industries and functions.Encourage active learning through discussions, hands-on activities, and project work.Mentor learners, supporting them with project guidance, assignment feedback, and doubt-clearing sessions.Collaborate with academic and operations teams to ensure smooth delivery and an excellent learner experience.Stay current with AI trends, tools, and industry applications to bring the latest insights to your teaching.What You Bring7+ years of experience in the AI, Machine Learning, or Data Science space (industry or academic).2+ years of experience teaching online, preferably to adult learners or business professionals.Strong grasp of both technical depth and business application—you can teach concepts like neural networks and also explain how AI drives business transformation.Excellent communication and storytelling skills, with the ability to simplify complex topics.Hands-on experience with tools such as Python, Jupyter Notebooks, Tensor Flow or Py Torch, Tableau/Power BI, and Git.Understanding of AI’s strategic role in automation, decision-making, and innovation across industries.Genuine passion for teaching, mentoring, and creating meaningful learning experiences.Bonus Points ForExperience mentoring capstone or industry projects.Exposure to Generative AI, Agentic AI frameworks, or LLM-based systems.A portfolio of past workshops, content, or instructional material.Experience in curriculum design and learner assessments.What We OfferA flexible remote opportunity to share your expertise with a community of motivated learners.Competitive compensation, aligned with experience and session hours.Opportunity to co-create and shape curriculum in a fast-evolving AI learning space.Be part of a forward-thinking, impact-driven Ed Tech ecosystem.

We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., Open AI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + Fast API.You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.Key ResponsibilitiesAI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within Fast API services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.Fast API Microservice Development: Build and maintain the scalable Fast API microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.Required Skills & Qualifications4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.Demonstrable experience integrating and utilizing external LLM APIs (e.g., Open AI, Anthropic, Google) in applications.Proven experience with Prompt Engineering techniques.Strong Python programming skills.Practical experience building and deploying RESTful APIs using Fast API.Experience designing and implementing application logic for AI-driven features or agents.Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).Solid understanding of core Machine Learning concepts and familiarity with frameworks like Py Torch, Tensor Flow, or Hugging Face (important for understanding models and future adaptation).Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.Solid problem-solving skills and clear communication abilities.Experience working effectively in an agile environment.Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.Bachelor's or Master's degree in Computer Science, AI, or a related field.Ability to work independently and collaborate effectively in a remote setting.Preferred QualificationsExperience with frameworks like Lang Chain or Llama Index.Experience with observability and debugging tools for LLM applications, such as Lang Smith.Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher).Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.Experience optimizing API call performance (latency/cost) or model inference.Knowledge of AI security considerations and bias mitigation.

We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., Open AI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + Fast API.You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.Key ResponsibilitiesAI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within Fast API services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs. Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization).RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents.Fast API Microservice Development: Build and maintain the scalable Fast API microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment (Docker, Kubernetes).Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.Required Skills & Qualifications4–6 years of hands-on experience in software development with a strong focus on AI/ML application development.Demonstrable experience integrating and utilizing external LLM APIs (e.g., Open AI, Anthropic, Google) in applications.Proven experience with Prompt Engineering techniques.Strong Python programming skills.Practical experience building and deploying RESTful APIs using Fast API.Experience designing and implementing application logic for AI-driven features or agents.Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).Solid understanding of core Machine Learning concepts and familiarity with frameworks like Py Torch, Tensor Flow, or Hugging Face (important for understanding models and future adaptation).Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for application deployment.Solid problem-solving skills and clear communication abilities.Experience working effectively in an agile environment.Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.Bachelor's or Master's degree in Computer Science, AI, or a related field.Ability to work independently and collaborate effectively in a remote setting.Preferred QualificationsExperience with frameworks like Lang Chain or Llama Index.Experience with observability and debugging tools for LLM applications, such as Lang Smith.Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher).Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.Experience optimizing API call performance (latency/cost) or model inference.Knowledge of AI security considerations and bias mitigation.

AI Engineer – Azure AI & Copilot DevelopmentAbout V GroupV Group Inc., an IT-based solution entity based out of New Jersey. With multiple offshore sites (Pune and Bhopal) in India. With offerings ranging from IT infrastructure to Product development, V Group Inc provides a compliant service in numerous industry sectors while maintaining structure, stability, and core values.Ranked by INC5000 in 2020 - Fastest Growing IT Co. in the USA.Current business groups include e-commerce, Digital, Professional services, IT projects, and Products. Join our team of innovative technical and business-savvy people; with a passion for creating solutions!Visit us at: (Corporate website) | (Ecommerce Store) | (Digital Products).Job Details: Position Title: AI Engineer – Azure AI & Copilot DevelopmentJob Location: Remote/Hybrid/OnsiteExperience: 3-6 years. Job SummaryWe are looking for an AI Engineer to join our team and help us build intelligent solutions using Azure AI Foundry, Semantic Kernel, and Azure Open AI. You will work on projects involving large datasets, smart copilots, and AI-driven automation for enterprise use cases.KEY RESPONSIBILITIES:Design and build intelligent agents using Azure AI Foundry and Semantic Kernel.Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval.Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data.Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling.Connect to and query data sources like Azure SQL, Synapse, Cosmos DB, and Data Lake using APIs or SDKs.Collaborate with frontend/backend teams to embed copilots in React or. NET-based applications.Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration.Deploy and secure solutions using Azure App Services, Containers, and Azure AD authentication.Skills & qualifications:Hands-on experience with Azure Open AI, Cognitive Search, and Semantic Kernel.Good understanding of LLM-based agents, prompt engineering, and tool-use workflows.Proficiency in Python or . NET Core for backend development.Familiarity with REST APIs, data transformation, and cloud pipelines.Experience with cloud integration on Azure.Nice to HavePrior experience building copilots, chatbots, or knowledge assistants.Exposure to multi-agent architectures or agentic AI.Microsoft certifications (AI-900, AI-102, DP-203) are a plus.Why Work With UsWork on cutting-edge AI, Agentic AI, and Generative AI solutions.Flexible work setup with a fast-paced innovation culture.Exposure to real-world enterprise challenges and global client projects. Perks & Benefits Health & Accident InsurancePaid Leaves and Sick LeavesEducation sponsorship / Certification Reimbursement Free Training Platforms Gym membershipEPF, Gratuity.US Based ClientsOnsite Opportunities to US.

• Location: Pan India• Years of Experience: 6 to 20 years• Key Skills: Gen AI + Python + Any Cloud platform with at least one project implementation experience

We’re looking to hire a highly capable AI Engineer with 3–5 years of hands-on experience in building LLM-powered applications. The ideal candidate should have strong expertise in working with LLMs, agentic workflows, and RAG systems, along with a solid foundation in Python. The engineer will be available to join immediately and can work *fully remote*.