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:
Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving
Skills:
Sklearn, FastAPI, Python, CrewAI, LangChain, Hugging Face Transformers, generative AI solutions, Plotly, Vapi, TRL, Salesforce AgentForce, Google Agent SDK, OpenAI Agent SDK, Microsoft Copilot, Dialogflow
Skills:
bedrock , containerization , Ml, Git, Kubernetes, Python, AWS, LLM Orchestration frameworks, Langchain, embedding models, AI technologies, Llm, LangGraph, Agentic frameworks, RAGs, Generative AI models
Skills:
graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems
Skills:
Machine Learning, Databricks, Kubernetes, Python, AI ML engineering concepts, containerisation, CI CD, prompt engineering, cloud-native deployment, AI coding tools, RAG, agentic frameworks, Large Language Models
