Applied AI Engineer - Agent Intelligence & Retrieval at Littlebird

Littlebird is hiring an Applied AI Engineer to join our fast-paced team, designing, developing, and implementing new features for Littlebird, the AI teammate for Mac and Android.

About the Role

This role is about making our agent smarter, faster, and more reliable. Your focus is the quality of retrieval, the precision of ranking, and the logic of the agent. You'll own the evolution of our hybrid search pipeline and debug complex agentic flows across layers of tool calls, context retrieval, and LLM responses.

Key Responsibilities

Own the evolution of our hybrid search pipeline (BM25 + vector + RRF + re-ranker).

Optimize the structure and presentation of context to minimize hallucinations and improve reasoning.

Debug complex agentic flows by tracing root causes through layers of tool calls, context retrieval, and LLM responses.

Ship improvements grounded in A/B tests and performance analysis.

Requirements

Strong OOP programming skills and prior experience writing production software in Python, TypeScript, or C++.

A deep understanding of information retrieval and modern RAG pipelines.

Hands-on experience with vector databases, hybrid search, and re-ranking models.

An experimental, data-driven mindset comfortable with A/B tests and performance analysis.

A pragmatic approach focused on shipping tangible improvements.

Benefits

Competitive compensation including stock and health benefits.

Paid time off and parental leave.

Location

Remote, based in the USA.