The ad says“Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar”
The ad says“Experience in an Agile Scrum environment”
The ad says“Hands-on experience with OpenAI and Anthropic APIs”
The ad says“Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation”
The ad says“Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar”
The ad says“Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar”
The ad says“Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation”
The ad says“Experience with end-to-end MLOps practices: monitoring, deployment, and evaluation”
The ad says“Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation”
The ad says“Hands-on experience with OpenAI and Anthropic APIs”
The ad says“Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation”
The ad says“Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar”
The ad says“Proficiency in Python, with preferred experience in Django, React, and PostgreSQL”
The ad says“Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases”
The ad says“Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases”
The ad says“Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases”
Values
The ad says“Proficiency in Python, with preferred experience in Django, React, and PostgreSQL”
The ad says“Proficiency in Python, with preferred experience in Django, React, and PostgreSQL”
The ad says“Proficiency in Python, with preferred experience in Django, React, and PostgreSQL”
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
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
Benefits
Health & Wellness: Comprehensive medical, dental, and vision plans. plus a Platinum tier Wellhub membership, fully covered by Topline Pro.
Top tier tools: The tech, equipment, and workspace setup you need to do your best work.
In-Office Energy: State-of-the-art offices in the heart of downtown Boston and the historic Domino Sugar Factory in Brooklyn, plus late-night Uber Eats coverage and a fully stocked kitchen and pantry so you’re never running on empty.
401(k) plan: Retirement savings available through Vestwell, with flexible employee contributions.
Team Retreats & Pod Culture: Company offsites, inter-office travel, team events, and coffee chat budgets designed to build connection across teams.
Learning & AI Budget: Monthly AI tool funding and annual professional development support to help you keep learning.
Preferred experience
Experience with coded agentic frameworks such as Pydantic AI, LangChain/LangGraph, or similar
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
5+ years of experience in AI, ML, or NLP-related engineering roles
Experience with end-to-end MLOps practices: monitoring, deployment, and evaluation
Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation
Real-world experience with Retrieval Augmented Generation (RAG) and similar practices, including vector embeddings and vector databases
Proficiency in Python, with preferred experience in Django, React, and PostgreSQL
Hands-on experience with OpenAI and Anthropic APIs
Experience in an Agile Scrum environment
Confidence to make decisions with best-available rather than perfect information
A drive to understand why your systems behave the way they do, not just that they work, but how
Low ego, high energy
A team-first mentality and a love of learning
Sharp problem-solving instincts, especially in fast-moving, ambiguous situations
We believe “great candidates” do not come about simply from a check mark next to past experience. We believe in hiring people, not just skills. Even if you do not check every box but find excitement at the prospect of working with us in this capacity, please apply
