Description :

Team : Core Platform / AI Systems

Stage : Early, high-leverage role

Why this role exists :

AI Engineers own Walts brain.

Walt turns natural language into accurate, explainable analytics over real enterprise data. That only works if the reasoning layer is strong: understanding intent, planning multi-step queries, retrieving the right context, executing safely, and explaining results clearly.

This is where the magic happens.

As an AI Engineer, you design and build the LLM reasoning systems, agentic workflows, and retrieval architecture that power Walt. This role blends prompt engineering, multi-agent system design, and production-grade ML engineering. Youll go deep on individual components while maintaining a systems-level view of how everything fits together.

If you care about reasoning correctness, not just demos and want to build AI systems that hold up in enterprise environments - this role is for you.

What were looking for :

Deep LLM expertise :

- Hands-on experience with GPT-4, Claude, or similar models

- Strong intuition for model behavior, strengths, and failure modes

- Knows where LLMs break and how to design around it

Advanced prompt engineering :

- Few-shot prompting, chain-of-thought, ReAct, self-consistency

- Can reason about prompts as programs, not text blobs

Retrieval systems experience :

- Vector databases (Pinecone, pgvector, or similar)

- Embedding models, chunking strategies, ranking and filtering

- Understands when RAG helps and when it hurts

Agent orchestration :

- Experience with LangChain, LangGraph, or equivalent patterns

- Comfortable building multi-agent coordination and tool-calling systems

- Thinks in graphs and state machines, not linear scripts

Strong Python engineering :

- Production-grade Python, async programming, API design

- Experience building and operating ML-backed services

What makes this role different :

- Youre building core reasoning infrastructure, not UI wrappers

- Accuracy and trust matter more than flashy demos

- Your work directly defines what Walt can and cannot do

- Youll influence architecture, eval strategy, and long-term technical direction