Apply for the Senior AI/LLM Engineer

kake

Remote NM Years Exp Posted 1h ago

Design, build, and deploy LLM-powered features and applications using Python.
Develop and maintain backend services and APIs (e.g., FastAPI) that expose AI/LLM capabilities to other systems.
Build and optimize RAG pipelines, including embeddings, vector search, and retrieval strategies.
Design, test, and iterate on prompts, agents, and orchestration flows using frameworks such as LangChain, LlamaIndex, or similar.
Integrate with LLM providers and APIs (e.g., OpenAI, Anthropic, open-source models) and manage tradeoffs around cost, latency, and quality.
Evaluate model outputs systematically, building tooling and metrics to test accuracy, safety, and regression across iterations.
Work with containerized environments and data infrastructure (e.g., PostgreSQL, Redis, vector databases) to support reliable AI systems in production.
- Collaborate with cross-functional stakeholders to translate ambiguous product needs into technically sound AI solutions.