AI Engineer at WITHIN

WITHIN is a Performance Branding company seeking an AI Engineer to design and build AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, and advertising APIs.

Core Responsibilities:

Design and build AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs

Develop agent architectures integrating tools via MCP-style integrations

Manage multi-turn context handling and session memory strategies

Implement safeguards and reliability measures for tool/code execution

Build evaluation frameworks for LLM systems

Expand internal AI platform ("Rai") into document and workflow automation

Key Requirements:

Strong Python programming and production system experience

Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)

Deep understanding of context windows, token limits, tool calling, structured outputs, prompt design

SQL proficiency

Cloud platform experience (GCP, AWS, Azure)

Git/GitHub knowledge

Strong Plus Skills:

LLM evaluation framework design

Embeddings, vector search, RAG architectures

Agent/multi-agent workflows

Stateful execution environments

Document automation (Google Docs, Slides, PDFs)

TypeScript

Tech stack: Python, SQL, LLM APIs, Google Ads, Meta APIs, RAG, embeddings, vector search, agent architectures, MCP integrations, BigQuery, Snowflake, Redshift, dbt.