Agentic AI Engineer

STAFIDE; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

STAFIDE in Amsterdam is seeking an experienced AI engineer to design and develop AI-powered applications, focusing on Generative AI, LLMs, and agent-based solutions. You will collaborate with data teams and business stakeholders, translate requirements into robust Python code, and implement CI/CD workflows while adhering to security and governance practices.

The role offers exposure to enterprise-level AI projects, modern agentic AI tooling, and opportunities for continuous learning in a

Qualifications

• 5+ years of experience in software development, AI engineering, or a related field.
• Strong programming experience with Python.
• Hands-on experience with Generative AI and LLMs.
• Experience developing AI agents or Agentic AI solutions.
• Knowledge of AI frameworks such as LangChain, LangGraph, Semantic Kernel, or similar.
• Good understanding of RAG, prompt engineering, embeddings, and vector databases.
• Experience working with APIs, microservices, and cloud platforms.
• Familiarity with Azure, AWS, or GCP.
• Understanding of CI/CD and DevOps practices.
• Strong problem-solving and communication skills.

Responsibilities

• Design and develop AI-powered applications and intelligent agents.
• Build scalable solutions using Python and Generative AI technologies.
• Work with Large Language Models (LLMs) and AI agent frameworks.
• Develop AI workflows involving reasoning, planning, tool calling, and automation.
• Implement RAG and prompt engineering solutions.
• Integrate AI solutions with APIs, databases, and enterprise applications.
• Test, monitor, and optimize AI applications for performance and reliability.
• Collaborate with developers, architects, data teams, and business stakeholders.
• Follow security, governance, and responsible AI practices.

Skills

Python

Generative AI

LLMs

AI agents

LangChain

LangGraph

Semantic Kernel

RAG

Prompt engineering

Embeddings

Vector databases

APIs

Microservices

Cloud platforms

CI/CD

DevOps

Communication

Job description

• Design and develop AI-powered applications and intelligent agents
  
• Build scalable solutions using Python and Generative AI technologies
  
• Work with Large Language Models (LLMs) and AI agent frameworks
  
• Develop AI workflows involving reasoning, planning, tool calling, and automation
  
• Implement RAG and prompt engineering solutions
  
• Integrate AI solutions with APIs, databases, and enterprise applications
  
• Test, monitor, and optimize AI applications for performance and reliability
  
• Collaborate with developers, architects, data teams, and business stakeholders
  
• Follow security, governance, and responsible AI practices
  

What You Bring to the Table:

• 5+ years of experience in software development, AI engineering, or a related field
• Strong programming experience with Python
• Hands-on experience with Generative AI and LLMs
• Experience developing AI agents or Agentic AI solutions
• Knowledge of AI frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
• Good understanding of RAG, prompt engineering, embeddings, and vector databases
• Experience working with APIs, microservices, and cloud platforms
• Familiarity with Azure, AWS, or GCP
• Understanding of CI/CD and DevOps practices
• Strong problem-solving and communication skills

You Should Possess the Ability To:

• Develop reliable and scalable AI solutions
• Translate business requirements into technical AI solutions
• Work independently and as part of an Agile team
• Troubleshoot and improve AI applications
• Stay updated with emerging AI and LLM technologies

What We Bring to the Table:

• Opportunity to work on innovative AI and Generative AI projects
• Exposure to modern Agentic AI and cloud technologies
• Collaborative and technology-driven working environment
• Opportunity to work on enterprise-level AI solutions
• Continuous learning and professional growth opportunities