AI Engineer

Summary

WITHIN is the world's first Performance Branding company, partnering with major brands to drive business growth through innovative marketing strategies. They are seeking an exceptional AI Engineer to design, build, and improve AI-powered applications that integrate large language models with internal tools and APIs, impacting productivity across the organization.

Responsibilities

• Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs
• Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations
• Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations
• Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies
• Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics
• Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations
• Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals
• Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai’s capabilities

Skills

• Strong programming skills in Python with experience building production systems
• Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)
• Deep understanding of: Context windows and token limits, Multi-turn conversation behavior, Tool/function calling, Structured outputs (JSON schema), Prompt design and failure modes
• Experience integrating external APIs into production systems
• Proficiency in SQL
• Experience working with cloud platforms (GCP, AWS, or Azure)
• Strong problem-solving skills and ability to debug complex system behavior
• Excellent communication and cross-functional collaboration skills
• Required knowledge of: Python, SQL, Cloud Platforms (GCP, AWS, Azure), LLMs / AI APIs, Git / GitHub
• Experience designing evaluation frameworks for LLM-powered systems
• Understanding of embeddings, vector search, and RAG architectures
• Experience building agent or multi-agent workflows
• Experience with stateful execution environments or sandboxed code execution
• Experience with document automation (Google Docs, Slides, PDFs)
• Experience building internal developer tools or productivity platforms
• TypeScript
• Nice to have: Data Warehouses (BigQuery, Snowflake, Redshift), Data Transformation (dbt), Semantic Layers (Cube, Looker, dbt Metrics), TypeScript

Qualifications

Must Haves

• Strong programming skills in Python with experience building production systems
• Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)
• Deep understanding of: Context windows and token limits, Multi-turn conversation behavior, Tool/function calling, Structured outputs (JSON schema), Prompt design and failure modes
• Experience integrating external APIs into production systems
• Proficiency in SQL
• Experience working with cloud platforms (GCP, AWS, or Azure)
• Strong problem-solving skills and ability to debug complex system behavior
• Excellent communication and cross-functional collaboration skills
• Required knowledge of: Python, SQL, Cloud Platforms (GCP, AWS, Azure), LLMs / AI APIs, Git / GitHub

Nice to Haves

• Experience designing evaluation frameworks for LLM-powered systems
• Understanding of embeddings, vector search, and RAG architectures
• Experience building agent or multi-agent workflows
• Experience with stateful execution environments or sandboxed code execution
• Experience with document automation (Google Docs, Slides, PDFs)
• Experience building internal developer tools or productivity platforms
• TypeScript
• Nice to have: Data Warehouses (BigQuery, Snowflake, Redshift), Data Transformation (dbt), Semantic Layers (Cube, Looker, dbt Metrics), TypeScript

Benefits

• Unlimited vacation policy
• Monthly Phone Stipend
• Comprehensive Medical, Dental, and Vision insurance options
• 401(K) plan with matching
• Dog friendly office
• Hybrid work opportunity
• Professional Development Program
• Bonus Perk - Seamless allowance