Role overview
The AI Engineer (GenAI & Agentic Systems) designs, prototypes, and builds generative AI and agent‑based automations for knowledge work, decision support, and business workflows, and evaluates AI platforms and AI features embedded in 3rd party products. This role experiments with and develops POCs/MVPs with large language models (LLMs), small language models (SLMs), retrieval‑augmented generation (RAG), and agentic AI patterns.
*Key Responsibilities
GenAI POC and MVP Development**
- Design and implement GenAI‑powered automations using LLMs/SLMs, tools, and agents.
What we're looking for
- Experience building and maintaining GenAI systems in enterprise or regulated environments.
- Familiarity with:
- Vector databases and document retrieval systems
- Cost and latency optimization for LLMs and SLMs
- Monitoring and evaluation of GenAI outputs.
- Experience assessing vendor‑provided GenAI platforms and features.
Exposure to AI risk management or responsible AI practices.