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Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox
Hcmportal
IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonSQLLangChainLlamaIndexOpenAIVertex AI
Free
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PythonSQLLangChain
Role Overview
We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
Key Skills for This Role
PythonSQLLangChainLlamaIndexOpenAIVertex AI
Full Job Posting
Job Summary
We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
Responsibilities
- Agentic AI Development:
- Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
- Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
- RAG Pipelines:
- Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses .
- LLM Engineering:
- Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation .
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