Source description
About the role
Agentic AI Engineer
Required Skills
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3+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
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3+ years of experience with Python and Python tools, including Pandas or NumPy
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Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
Good understanding and experience working with Natural Language Processing (NLP)
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The AI models are being built ontop of the current environment/tech stack. Knowledge / Hands-on experience with developing REST services with Java and Spring Boot, along with Angular and Web Services is required.
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Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
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Experience in resolving workflow problems through automation optimization
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Experience in connecting Agents to APIs, Cloud platforms, or databases
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Ability to work with automated testing tools to perform testing and maintenance
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Experience with Software Development Lifecycle (SDLC), such as DevSecOps
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Experience with Cloud Service Providers such as Amazon Web Services (AWS)
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Experience with the administration of continuous integration and continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
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