Only Banglore
Role Descriptions: Core Responsibilities Application Integration: Connect large language models (LLMs) like GPT| Claude| or Gemini into software systems using APIs.
RAG and Pipelines: Build Retrieval-Augmented Generation (RAG) pipelines and use vector databases for semantic search.
Agentic Workflows: Design and test autonomous AI agents| multi-step workflows| and prompt structures.
Production Deployment: Manage containerization| monitoring| and cloud infrastructure using tools like Docker| Kubernetes| and AWS.Essential Skills Programming: Robust proficiency in Python| SQL| and software engineering basics like Git.
AI Frameworks: Experience with LangChain| LangGraph| Hugging Face| PyTorch| or TensorFlow.
Data Management: Working knowledge of vector databases| data pipelines| and RESTful APIs
Essential Skills: An AI engineer builds production-ready applications by integrating pre-trained machine learning and foundational models via APIs| vector databases| and agentic workflows rather than training models from scratch.
Keyword
Desirable Skills
Skills: Digital : PythonDigital : NOSQLGenerative AI~AI Agents
Experience Required: 6-8
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📌 Generative AI Engineer – AI Agents,python (Karnataka)
🏢 VMC Soft Technologies
📍 Karnataka