Agentic AI Engineer
Posted Updated
Description
- Programming Proficiency: High proficiency in Python, SQL, and Git version control.
- Agentic AI Expertise: Proven experience in prompt engineering, context engineering, RAG patterns, and designing agent/tool ecosystems.
- Evaluation & Optimization: Hands-on experience with LLM evaluation frameworks, benchmark design, model selection, and systematic error analysis.
- Production Deployment & LLMOps: Practical experience deploying LLM applications, including observability, tracing, cost monitoring, and latency tuning.
- Research-to-Product Mindset: Demonstrated ability to dissect recent AI papers and open-source breakthroughs and apply them directly to software products.
Skills
See also
AI Engineering jobs by country — openings, pay and top skills →