Principal Applied Scientist, AI Models

Requirements:

1) Large Language Models (LLMs) & Agentic AI -

- Hands-on experience designing and productionizing LLM-based systems beyond chat

use cases.

- Strong expertise in prompt engineering for structured outputs (JSON, schemas, APIs,

models).

- Experience building multi-agent / agentic workflows (planner, reasoning, validation,

execution).

- Familiarity with tool-calling, function calling, and agent orchestration frameworks.

- Ability to ground LLMs using RAG, metadata stores, and domain knowledge.

2) Machine Learning & NLP Foundations -

- Strong grounding in NLP concepts (embeddings, similarity search, classification).

- Experience designing confidence scoring, ranking, and ambiguity detection mechanisms.

- Ability to evaluate and benchmark model outputs using custom metrics and test sets.