Agentic AI Engineer

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Agentic AI Engineer

Unknown

HybridPosted July 29, 2026

About the role

Agentic AI Engineer

We are seeking an experienced AI Engineer with strong expertise in Agentic AI, Large Language Models (LLMs), and AI orchestration frameworks to design and develop enterprise-grade AI applications. The ideal candidate will have hands-on experience building multi-agent systems, conversational AI solutions, and production-ready LLM applications using modern AI frameworks and cloud technologies. This role requires a strong software engineering background with practical experience in AI orchestration, machine learning integration, prompt engineering, and LLMOps.

Responsibilities

Design, develop, and deploy agent-based AI applications using LangGraph, LangChain, and similar orchestration frameworks.
Build scalable multi-agent workflows with intelligent task planning, execution, and state management.
Develop reusable tools, workflows, and orchestration components for enterprise AI applications.

Agentic AI Engineer

Unknown

HybridPosted July 29, 2026

About the role

Agentic AI Engineer

We are seeking an experienced AI Engineer with strong expertise in Agentic AI, Large Language Models (LLMs), and AI orchestration frameworks to design and develop enterprise-grade AI applications. The ideal candidate will have hands-on experience building multi-agent systems, conversational AI solutions, and production-ready LLM applications using modern AI frameworks and cloud technologies. This role requires a strong software engineering background with practical experience in AI orchestration, machine learning integration, prompt engineering, and LLMOps.

Responsibilities

Design, develop, and deploy agent-based AI applications using LangGraph, LangChain, and similar orchestration frameworks.
Build scalable multi-agent workflows with intelligent task planning, execution, and state management.
Develop reusable tools, workflows, and orchestration components for enterprise AI applications.

Design and integrate Model Context Protocol (MCP) clients and tool ecosystems.

Build conversational AI applications with contextual memory, reasoning, and dynamic tool invocation.

Develop and integrate REST APIs and external enterprise systems into AI workflows.

Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops.

Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval solutions where applicable.

Apply LLMOps best practices including prompt engineering, prompt versioning, evaluation, monitoring, logging

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Design and integrate Model Context Protocol (MCP) clients and tool ecosystems.

Build conversational AI applications with contextual memory, reasoning, and dynamic tool invocation.

Develop and integrate REST APIs and external enterprise systems into AI workflows.

Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops.

Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval solutions where applicable.

Apply LLMOps best practices including prompt engineering, prompt versioning, evaluation, monitoring, logging

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Agentic AI Engineer

See how this role matches your resume

Sign in to get an AI match score and personalized feed.

Create account Sign in

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