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Senior Agentic Artificial Engineer
Microvision IT Solutions
Dubai, UAE
Full Time
Senior
1 weeks ago
Large Language ModelsAI AgentsRetrieval Augmented GenerationPrompt EngineeringLangChainLangGraph
Free
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Large Language ModelsAI AgentsRetrieval Augmented Generation
About the Role
We are looking for a highly skilled Senior Agentic AI Engineer to design, develop, and deploy advanced AI agent systems using LLMs, RAG, and orchestration frameworks. The role involves building autonomous agents, multi-agent systems, and integrating AI with enterprise applications.
Key Skills for This Role
Large Language ModelsAI AgentsRetrieval Augmented GenerationPrompt EngineeringLangChainLangGraph
Responsibilities
- Design and develop autonomous AI agents capable of reasoning, planning, tool usage, and task execution
- Build multi agent systems where multiple AI agents collaborate to solve complex problems
- Develop agent workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar platforms
- Architect scalable AI solutions integrating LLMs with enterprise applications and APIs
- Develop and optimize applications using leading LLM models such as OpenAI GPT, Anthropic Claude, Google Gemini, Llama, Mistral, or other foundation models
- Perform prompt engineering, prompt optimization, and evaluation of AI outputs
- Implement fine tuning, embeddings, and model adaptation strategies
- Design AI systems with strong focus on accuracy, reliability, security, and scalability
- Build advanced Retrieval Augmented Generation (RAG) pipelines
- Develop document intelligence solutions using vector databases and semantic search
- Work with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus
- Implement knowledge retrieval, indexing, chunking, and ranking strategies
Requirements
- 6+ years of software engineering experience
- 3+ years of hands on experience in AI/ML or Generative AI development
- Proven experience building and deploying LLM based applications in production
- Strong hands on experience building AI powered applications using LLMs
- Deep understanding of AI Agents, LLM orchestration, prompt engineering, RAG architecture, embeddings, vector databases, and AI workflow automation
- Strong programming skills in Python
- Experience with REST APIs and microservices architecture
- Strong knowledge of software engineering best practices
- Hands on experience with one or more AI frameworks: LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, OpenAI API, Hugging Face ecosystem
- Experience with cloud platforms: AWS Bedrock, Azure OpenAI, or Google Vertex AI
- Experience with Docker and Kubernetes
- Experience with Git based development workflows and CI/CD pipelines
Full Job Posting
Role Overview
- We are looking for a highly skilled Senior Agentic AI Engineer to design, develop, and deploy advanced AI agent systems that can autonomously solve complex business problems.
- The ideal candidate will have strong experience in Large Language Models (LLMs), AI agents, Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and production grade AI application development.
- The candidate will work closely with product, engineering, and business teams to build intelligent AI solutions that automate workflows, enhance decision making, and deliver next generation AI capabilities.
Key Responsibilities
- AI Agent Development & Architecture: Design and develop autonomous AI agents capable of reasoning, planning, tool usage, and task execution.
- Build multi agent systems where multiple AI agents collaborate to solve complex problems.
- Develop agent workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar platforms.
- Architect scalable AI solutions integrating LLMs with enterprise applications and APIs.
- LLM & Generative AI Engineering: Develop and optimize applications using leading LLM models such as OpenAI GPT, Anthropic Claude, Google Gemini, Llama, Mistral, or other foundation models.
- Perform prompt engineering, prompt optimization, and evaluation of AI outputs.
- Implement fine tuning, embeddings, and model adaptation strategies.
- Design AI systems with strong focus on accuracy, reliability, security, and scalability.
- RAG & Knowledge Systems: Build advanced Retrieval Augmented Generation (RAG) pipelines.
- Develop document intelligence solutions using vector databases and semantic search.
- Work with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus.
- Implement knowledge retrieval, indexing, chunking, and ranking strategies.
Required Skills & Qualifications
- Technical Skills: Strong hands on experience building AI powered applications using LLMs.
- Deep understanding of AI Agents, LLM orchestration, prompt engineering, RAG architecture, embeddings, vector databases, and AI workflow automation.
- Strong programming skills in Python.
- Experience with REST APIs and microservices architecture.
- Strong knowledge of software engineering best practices.
- AI Framework Experience: Hands on experience with one or more: LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, OpenAI API, Hugging Face ecosystem.
- Cloud & DevOps: Experience with AWS Bedrock / Azure OpenAI / Google Vertex AI, Docker & Kubernetes, Git based development workflows, CI/CD pipelines.
- Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or Software Engineering.
- Experience delivering enterprise AI solutions.
- Experience working with chatbot, automation, or intelligent assistant platforms.
- Knowledge of AI security, privacy, and responsible AI practices.
- Experience working with GCC/UAE enterprise environments is a plus.
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