TOPLINE PRO

AI-powered Shopify for service businesses

SeniorAIEngineer

Boston, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at TOPLINE PRO. Skills: AI Agent and Chat Capabilities development, Deploy & Scale AI Features, Experiment & Iterate on AI applications, Retrieval Augmented Generation (RAG), MLOps, Python. Build AI Agent and Chat Capabilities. Develop AI-powered assistants using cutting-edge technologies and tooling”

What You'll Achieve.

have a significant impact on the product; scale to the next level; make a huge impact on a small yet growing team and culture; scale a product that can change the lives of home service pros; massive impact is clear

Industry & Context.

AI powered Shopify for service businesses
Problems you'll solve

Sharp problem-solving instincts; Confidence to make decisions with best-available rather than perfect information

What They're Looking For.

Must Have

5+ years of experience in AI, ML, or NLP-related engineering roles, Proficiency in Python, Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases, Hands-on experience with OpenAI and Anthropic APIs, Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation, Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar, Experience with end-to-end MLOps practices: monitoring, deployment, and evaluation, Experience deploying AI-powered applications in production environments (e. g. , cloud-based APIs, real-time processing), Experience working on an empowered team with Product and Design as equal counterparts, Experience in an Agile Scrum environment

Nice to Have

preferred experience in Django, React, and PostgreSQL

What You'll Do.

Build AI Agent and Chat Capabilities

Develop AI-powered assistants using cutting-edge technologies and tooling

Deploy & Scale AI Features

Build infrastructure and pipelines to support real-time AI interactions in a production environment

Prototype new AI applications

evaluate their performance

continuously refine them based on user feedback

Partner with engineering and product leaders

Contribute strategically

play a key role in the product development process

How You'll Work.

Team & Collaboration

work directly on a cross-functional engineering team; Partner with engineering and product leaders; Experience working on an empowered team with Product and Design as equal counterparts

Communication Scope

Excellent written and verbal communication skills

Full Job Description

ABOUT THE ROLE We're hiring a Senior AI Engineer to join the team here in Boston. This is an opportunity to have a significant impact on the product. Come help us scale to the next level! You will have the opportunity to make a huge impact on a small yet growing team and culture. In this role, you will work directly on a cross-functional engineering team, reporting to the VP of Engineering. ⚡ WHAT YOU'LL DO - Build AI Agent and Chat Capabilities – Develop AI-powered assistants using cutting-edge technologies and tooling that help our customers run their small businesses - Deploy & Scale AI Features – Build infrastructure and pipelines to support real-time AI interactions in a production environment - Experiment & Iterate – Prototype new AI applications, evaluate their performance, and continuously refine them based on user feedback - Partner with engineering and product leaders – Contribute strategically and play a key role in the product development process 🎯 WHAT WE'RE LOOKING FOR - 5+ years of experience in AI, ML, or NLP-related engineering roles - Proficiency in Python, with preferred experience in Django, React, and PostgreSQL - Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases - Hands-on experience with OpenAI and Anthropic APIs - Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation - Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar - Experience with end-to-end MLOps practices: monitoring, deployment, and evaluation - Experience deploying AI-powered applications in production environments (e.g., cloud-based APIs, real-time processing) - Experience working on an empowered team with Product and Design as equal counterparts - Experience in an Agile Scrum environment WHAT YOU BRING - Sharp problem-solving instincts, especially in fast-moving, ambiguous situations - Confidence to make dec

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