Agentic AI Engineer
STAFIDE
Role 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
