Senior AI Engineer
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Job Title – Senior AI Engineer
Experience - 5–8 Years
Location – Bangalore/Hybrid
Employment Type - Full-Time
About the Role We are looking for a Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs), Vision Language Models (VLMs), Retrieval-Augmented Generation (RAG), and Agentic AI workflows. The role involves building scalable AI services, integrating AI models with enterprise applications, and developing intelligent automation capabilities that leverage structured and unstructured data. The ideal candidate should have strong expertise in modern AI frameworks, Python-based backend development, prompt engineering, model integration, and cloud-native AI deployment. This role will work closely with solution architects, backend engineers, and DevOps teams to deliver secure, scalable, and production-ready AI solutions.
Strong hands-on experience with Python and backend API development. • Experience developing enterprise AI applications using LLMs and modern AI frameworks. • Solid understanding of Retrieval-Augmented Generation (RAG) and semantic search. • Experience working with cloud-native applications and containerized deployments. • Excellent analytical, problem-solving, and debugging skills. • Experience with Knowledge Graphs and GraphRAG. • Experience with multimodal AI and document intelligence. • Knowledge of AI governance, security, and responsible AI practices. • Experience building enterprise chatbots or AI assistants.
Job ID: 151991267
Skills:
Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring
Skills:
Azure Cloud Services, Python, CrewAI, AutoGen, LangChain, GitHub Copilot, Qdrant, Pinecone, Azure AI Search, LlamaIndex, Azure AI Foundry
Skills:
snowflake , Machine Learning, Apache Spark, Sql, Devops, Nlp, MLops, Docker, Predictive Modeling, Python, AWS, agentic engineering tools, Polars, MLflow, reranking techniques, DuckDB, vector stores, LLM-powered applications, dbt, CI CD pipelines, Statistics, Palantir Foundry, LLM observability tooling
Skills:
Java, Rust, Restful Api, Git, Gcp, Terraform, Apache Kafka, Azure, Helm, Python, Kubernetes, AWS, Go
Skills:
secure coding , Argo, Solid Principles, MLops, Reactjs, Kubernetes, Python, CrewAI, Airflow, Static Analysis, MLflow, LangGraph, AutoGen, Kubeflow, LlamaIndex
