Description:

Seeking a solution-oriented AI Engineer to design and build production-grade multi-agent LLM systems.
Role focuses on understanding user outcomes and engineering systems for reliable delivery, leaning towards systems engineering/architecture.

Requirements:

Familiarity with the gamedev domain, including analytics or payments experience.
Strong Python backend development skills (async, APIs, services).
Commercial experience in building multi-agent LLM systems.
Experience with agent frameworks like LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, Pydantic AI.
Experience in designing agent orchestration, tool calling, routing, and memory systems.
Experience in building multimodal pipelines (text + image generation).
Experience integrating multiple model providers (OpenAI, Anthropic, local/self-hosted models).
Knowledge of vector databases (Qdrant, Pinecone, Weaviate) and Redis or similar caching layers.
Familiarity with production-grade development practices (testing, debugging, observability).

Strong ownership and autonomy in work.
Opportunity to work from problem identification to architecture and implementation.
Engage with unfamiliar codebases, APIs, and product logic.
Focus on engineering reliable AI systems rather than just model experimentation.

Skills