Senior AI Engineer- Mumbai (Vashi)- Only Maharashtra People- With Agentic AI as

Job Title : AI/ML EngineerExperience- 4 to 8 yearsLocation: Vashi, Navi Mumbai (Work from Office)Key ResponsibilitiesDesign and implement RAG pipelines, including support for multimodal inputs such as text, tables, and images.Build AI applications that process unstructured financial documents (e.g., PDF, Word, scanned files) to extract insights, generate content, and enable Q&A.Develop solutions that convert financial documents into structured regulatory formats like XBRL/iXBRL.Integrate LLMs into production systems using FastAPI or similar frameworks.Use OCR techniques to extract information from scanned documents and embedded images.Collaborate with data scientists, engineers, and product managers to deliver business-aligned AI solutions.Optimize model performance for scalability, accuracy, and cost-efficiency.Contribute to the architecture and design of AI systems and participate in technical decision-making.Keep up to date with advancements in AI/ML, especially in the areas of RAG, multimodal processing, and LLMs.Mandatory Skills and Qualifications5+ years of experience in AI/ML engineering or related roles.Hands-on experience with RAG pipelines, including chunking, embeddings, vector databases, and query response optimization.Experience working with unstructured data (PDFs, scanned documents, images) and converting them into structured information.Strong knowledge of OCR techniques and tools for processing scanned documents.Proficiency in developing APIs using FastAPI (or similar frameworks) for AI model integration.Experience deploying AI solutions in containerized environments (Docker and Kubernetes).Familiarity with financial documents such as annual reports, and ability to work with domain-specific concepts like revenue, balance sheets, etc.Experience with at least one vector database (Qdrant preferred, others acceptable).Understanding of multimodal AI techniques and experience working with both text and image-based inputs.Strong communication and problem-solving skills, with the ability to work in cross-functional teams.Preferred Skills (Good to Have)Experience with LLM fine-tuning techniques such as SFT, PEFT, or LoRA.Knowledge of model development using PyTorch or TensorFlow.Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar LLM orchestration frameworks.Exposure to Azure OpenAI, OpenAI APIs, or similar cloud-based LLM providers.Experience with MLOps practices, including model lifecycle management and monitoring.Prior work on time series forecasting or classical ML models (e.g., using Scikit-learn).Familiarity with Azure Document Intelligence or similar document AI platforms.Experience working on multilingual or translation-based LLM systems.Contributions to open-source AI/ML projects or relevant published research. Educational Qualifications:Bachelors or masters degree in:Computer Science / EngineeringMathematicsStatistics or related quantitative fields Job Title : AI/ML EngineerExperience- 4 to 8 yearsLocation: Vashi, Navi Mumbai (Work from Office)Key ResponsibilitiesDesign and implement RAG pipelines, including support for multimodal inputs such as text, tables, and images.Build AI applications that process unstructured financial documents (e.g., PDF, Word, scanned files) to extract insights, generate content, and enable Q&A.Develop solutions that convert financial documents into structured regulatory formats like XBRL/iXBRL.Integrate LLMs into production systems using FastAPI or similar frameworks.Use OCR techniques to extract information from scanned documents and embedded images.Collaborate with data scientists, engineers, and product managers to deliver business-aligned AI solutions.Optimize model performance for scalability, accuracy, and cost-efficiency.Contribute to the architecture and design of AI systems and participate in technical decision-making.Keep up to date with advancements in AI/ML, especially in the areas of RAG, multimodal processing, and LLMs.Mandatory Skills and Qualifications5+ years of experience in AI/ML engineering or related roles.Hands-on experience with RAG pipelines, including chunking, embeddings, vector databases, and query response optimization.Experience working with unstructured data (PDFs, scanned documents, images) and converting them into structured information.Strong knowledge of OCR techniques and tools for processing scanned documents.Proficiency in developing APIs using FastAPI (or similar frameworks) for AI model integration.Experience deploying AI solutions in containerized environments (Docker and Kubernetes).Familiarity with financial documents such as annual reports, and ability to work with domain-specific concepts like revenue, balance sheets, etc.Experience with at least one vector database (Qdrant preferred, others acceptable).Understanding of multimodal AI techniques and experience working with both text and image-based inputs.Strong communication and problem-solving skills, with the ability to work in cross-functional teams