AI Prompt & Data Engineer

YesAstrology; United States; Remote; USD 110.000 - 185.000; Vollzeit

Zusammenfassung

YesAstrology is seeking a remote AI Prompt & Data Engineer to design production LLM prompt chains, RAG pipelines, and evaluation harnesses for astrological insights.

You will optimize prompts, build retrieval-augmented systems, and implement automated evaluation to ensure accuracy and strict schema adherence across modern stacks.

Qualifikationen

• 2+ years of professional experience building production-grade LLM applications, prompt workflows, or AI agents.
• Proficiency in modern AI SDKs and vector databases; strong knowledge of prompt optimization.
• Experience with context management, embeddings, and semantic retrieval.
• Fluent written and verbal English communication skills with attention to detail.

Aufgaben

• Design, benchmark, and optimize prompts and few-shot contexts across LLM providers.
• Architect RAG pipelines integrating domain knowledge with real-time data.
• Implement automated evaluation harnesses for factual accuracy and schema adherence.
• Optimize routing, caching, and token cost for scalable AI features.
• Collaborate with product and backend engineers to integrate intelligent agents into Next.js/Supabase APIs.

Kenntnisse

LLM applications

Prompt engineering

Python

TypeScript

Node.js

English communication

Tools

pgvector

Pinecone

Qdrant

Jobbeschreibung

YesAstrology is looking for a remote AI Prompt & Data Engineer to design production LLM prompt chains, RAG pipelines and evaluation harnesses that turn precise astrological calculation into clear, personalized...

Responsibilities

• Design, benchmark, and optimize complex system prompts, few-shot contexts, and chain-of-thought workflows across modern LLM providers;


• Architect retrieval-augmented generation (RAG) pipelines integrating domain knowledge with real-time computational data;


• Implement automated evaluation harnesses to measure factual accuracy, structured schema adherence (Zod / JSON Schema), and latency;


• Optimize model routing, caching strategies, and token expenditure to scale generative AI features cost-effectively;


• Collaborate with product and backend engineers to integrate intelligent agents into high-throughput Next.js and Supabase APIs.

Requirements

• 2+ years of professional experience building production-grade LLM applications, prompt engineering workflows, or AI agent systems;


• Demonstrated proficiency in TypeScript, Python, or Node.js with modern AI SDKs and vector databases (pgvector, Pinecone, or Qdrant);


• Strong understanding of prompt optimization techniques, structured output enforcement, and automated eval methodologies;


• Experience with context management, embeddings, semantic retrieval, and multi-model routing (OpenAI, Anthropic, Gemini, open-source models);


• Fluent written and verbal English communication skills with high attention to detail.