Senior AI Prompt Engineer

Role Overview

LiftPilot.ai is building an enterprise architecture that’s redefining the B2B website buying experience. We are looking for a Senior AI Prompt Engineer who can design and build the core prompt architecture behind our AI systems and take responsibility for all product LLM output.

Responsibilities

• Design and optimize prompts for LLMs across LiftPilot’s core products

• Build and maintain retrieval-augmented generation (RAG) pipelines that power knowledge grounding for dynamic content

• Architect and implement evaluation and scoring frameworks to measure prompt performance, relevance, and business impact (engagement rates, conversions)

• Optimize cost and efficiency in production: smart caching, token budgeting, prompt batching, and tuning to hit performance and latency targets

• Work directly in code (not just GUIs or hosted platforms) to integrate LangSmith, vector stores, LLM APIs, and other NLP infrastructure into LiftPilot’s backend

• Tie AI outputs to performance data so that AI relevance directly improves key customer metrics

• Collaborate with product, growth, and engineering on data schemas, enrichments, and delivery APIs

Requirements

• Solid experience with RAG workflows and prompt engineering in real products, especially at scale

• Familiarity with vector databases or embedding stores (Pinecone, Milvus, Weaviate, etc.)

• Hands-on experience with LangSmith or similar evaluation / observability tooling

• Strong coding skills in JavaScript

• Understanding of web analytics, and experience using analytics data to inform AI behavior and optimization

• Demonstrated experience optimizing token usage, caching strategies, prompt templates, and cost at scale for LLM-driven systems

• Must speak fluent English to evaluate model output

Nice to Have

• Experience in B2B SaaS or enterprise deployment contexts, ideally covering marketing, sales, ABM, or GTM systems

• Experience building or evaluating A/B tests tied to AI output performance

• Prior work in conversion rate optimization, personalization engines, or adaptive experience tooling

• Knowledge of modern frontend frameworks and how AI services integrate with web platforms

What We Value in You

• You operate at the intersection of engineering and AI experimentation

• You want to be part of an all-star team and create an AI product that’s far bigger than anything you could build on your own

• The industry is rapidly changing week to week. You’re excited to stay on top of the curve, continuing to learn and experiment

Perks & Benefits

🌍 Work from anywhere

⏳ Flexible hours

🏝 Paid time off + holidays

🛫 Team offsites

🩺 Subsidised Health insurance