A2G Consulting BV (A2G Technologies)

Agentic AI engineer for enterprise automation

In short

Senior Agentic AI Engineer role building enterprise-grade AI solutions with LLMs, RAG, and multi-agent systems for intelligent AI assistants and workflow automation. The company is a consulting firm deploying engineers to client sites, offering a 1-year contract with extension possibility. Requires 8+ years in Software/Data/AI Engineering, strong Python/SQL, and hands-on experience with LangChain, LlamaIndex, Azure OpenAI, Databricks, Spark, Airflow, Docker, Kubernetes, and CI/CD. Visa sponsorship is provided for candidates and dependents.

About the Role
We are looking for an experienced Senior Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems. You will build intelligent AI assistants, automate complex workflows, and develop scalable, secure, and production-ready AI applications.
Responsibilities
•Design and develop Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
•Build intelligent agents and multi-agent workflows for enterprise automation.
•Develop AI solutions using LangChain, LlamaIndex, and Azure OpenAI or similar services.
•Design scalable AI and data pipelines on Azure and/or AWS.
•Implement MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
•Work with Databricks, Apache Spark, and Apache Airflow for data processing and orchestration.
•Deploy and manage AI applications using Docker, Kubernetes, and CI/CD pipelines.
•Optimize AI application performance, accuracy, scalability, security, and reliability.
•Collaborate with business and engineering teams to deliver AI-driven solutions.
Requirements
•A Bachelor's or Master's Degree or equivalent.
•8+ years of experience in Software Engineering, Data Engineering, or AI Engineering.
•Strong programming skills in Python and SQL.
•Hands-on experience with LLMs, Agentic AI, RAG, embeddings, vector databases, and multi-agent systems.
•Experience with LangChain, LlamaIndex, and Azure OpenAI or equivalent AI frameworks and services.
•Knowledge of Azure and/or AWS cloud platforms.
•Experience with Databricks, Spark, and Airflow.
•Hands-on experience with Docker, Kubernetes, and CI/CD.
•Understanding of MLOps, AI evaluation, monitoring, and production deployment.
Nice to Have
•Experience with enterprise AI automation and agent orchestration.
•Knowledge of semantic search, hybrid retrieval, and RAG optimization.
•Familiarity with AI observability, guardrails, and hallucination mitigation.
•Understanding of AI governance, data privacy, and enterprise security.
Conditions
•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.
•You will be deployed and work at one of our client sites.

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