TOPLINE PRO
AI-powered Shopify for service businesses
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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