Agentic AI engineer

We are looking for an experienced Senior Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures. The ideal candidate will have strong expertise in Python, modern AI frameworks, cloud platforms, and scalable AI engineering solutions, with proven experience taking AI applications from development to production.

• Design and develop Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
• Build intelligent multi-agent systems and AI-powered automation workflows.
• Develop and optimize AI applications using LangChain and LlamaIndex.
• Integrate Azure OpenAI and other cloud-based AI services.
• Design scalable AI and data pipelines using Azure and/or AWS.
• Implement RAG solutions, semantic search, and advanced retrieval techniques.
• Develop and manage data processing workflows using Databricks, Spark, and Airflow.
• Implement MLOps practices, including model deployment, monitoring, evaluation, and retraining.
• Containerize and deploy AI applications using Docker and Kubernetes.
• Build and maintain CI/CD pipelines for automated testing and deployment.
• Ensure AI solutions meet enterprise security, governance, scalability, and reliability standards.
• Collaborate with business and engineering teams to deliver AI-driven solutions.

• A Bachelor's or Master's Degree or equivalent.
• 8+ years of experience in Software Engineering, Data Engineering, or AI Engineering.
• Strong hands-on experience with Agentic AI and Generative AI.
• Expertise in Large Language Models (LLMs) and RAG architectures.
• Experience with embeddings, vector databases, and multi-agent systems.
• Strong programming skills in Python and SQL.
• Hands-on experience with LangChain and/or LlamaIndex.
• Experience with Azure OpenAI or similar LLM services.
• Knowledge of Azure and/or AWS cloud platforms.
• Experience with Databricks, Apache Spark, and Airflow.
• Strong understanding of MLOps practices.
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
• Будет плюсом: Experience developing enterprise-grade Agentic AI solutions; Knowledge of advanced RAG techniques and semantic search; Familiarity with LLM evaluation, monitoring, and optimization; Understanding of AI governance, security, and responsible AI practices; Experience deploying and managing production-ready AI applications

• This position is for 1 year with possibility of extension.
• We offer competitive Gross Salary in line with the market standard.
• 20 days of holiday per year
• Encourage Personal Development - Certification (Certification Charges reimbursed)
• Income Tax Return Filing
• We provide Visa Sponsorship for Candidate & Dependants
• Possibility of bonus