Senior Agentic AI Engineer (ID: 4120)
Key Skills
Job Description
- Design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems.
- Build intelligent AI applications, automation workflows, virtual assistants, and data-driven decision-support solutions.
- Develop and optimize AI workflows using frameworks such as LangChain, LlamaIndex, Azure OpenAI, or similar technologies.
- Implement embedding strategies and integrate vector databases to enable efficient semantic search and knowledge retrieval.
- Design, build, and maintain scalable AI and data pipelines on cloud platforms such as Microsoft Azure and AWS.
- Implement MLOps practices for model deployment, monitoring, evaluation, performance optimization, and retraining.
- Collaborate with business stakeholders, data engineers, software engineers, and other technical teams to deliver AI-driven solutions.
- 8–10 years of overall experience in Software Engineering, Data Engineering, AI Engineering, or related technical fields.
- Strong programming skills in Python and SQL.
- Hands-on experience developing LLM-based applications and Agentic AI solutions.
- Practical experience with RAG architectures, embeddings, vector databases, and multi-agent systems.
- Experience with LangChain, LlamaIndex, Azure OpenAI, or equivalent AI frameworks and services.
- Knowledge of Databricks, Apache Spark, and Apache Airflow for data processing and orchestration.
- Experience working with cloud platforms, particularly Microsoft Azure and/or AWS.
- Familiarity with MLOps practices, model lifecycle management, and production AI deployments.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Understanding of AI security, governance, monitoring, and enterprise-level deployment requirements.
- Design and implement scalable, reliable, and maintainable Agentic AI solutions.
- Develop and optimize LLM workflows to improve response quality, accuracy, and performance.
- Integrate enterprise data sources with AI applications using RAG, embeddings, and vector search.
- Build and manage AI and data pipelines across cloud environments.
- Evaluate AI models and workflows, identify performance issues, and implement improvements.
- Deploy, monitor, troubleshoot, and maintain AI applications in production environments.
- Apply containerization, orchestration, and CI/CD practices to streamline AI solution delivery.
- Work effectively with cross-functional teams and translate business requirements into technical solutions.
- The opportunity to work on enterprise-scale Generative AI and Agentic AI solutions.
- Exposure to modern AI technologies, LLMs, RAG architectures, and multi-agent systems.
- The opportunity to develop scalable, cloud-based AI applications and intelligent automation solutions.
- A collaborative, Agile working environment focused on innovation and production-ready AI engineering
Core Responsibilities
Design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. Collaborate with cross-functional teams to build scalable AI pipelines and implement MLOps practices for production environments.
Requirements
Requires 8–10 years of experience in software or data engineering with strong proficiency in Python and SQL. Candidates must have hands-on experience with AI frameworks, cloud platforms like Azure or AWS, and vector database integration.
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.