The Role
Design and build scalable AI applications and intelligent agents using Python and LLMs. Implement agentic workflows (reasoning, planning, tool calling), RAG, prompt engineering, and embeddings. Integrate with APIs, vector databases, microservices, and cloud platforms. Test, monitor, and optimize AI applications while following security, governance, and responsible AI practices and collaborating with cross-functional teams.
Summary Generated by Built In
As an Agentic AI Engineer, you will:
- 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
Let’s Connect
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :146
LinkedIn: https://www.linkedin.com/in/ashakrishnan07/
Skills Required
- 5+ years experience in software development, AI engineering, or a related field
- Strong programming experience with Python
- Hands-on experience with Generative AI and Large Language Models (LLMs)
- Experience developing AI agents or Agentic AI solutions
- Knowledge of AI frameworks such as LangChain, LangGraph, Semantic Kernel, or similar
- 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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
.jpg)
