Job Title: AI Systems Builder

Company Name: Boston Agent House

Job Url: https://www.linkedin.com/jobs/view/4386587607/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=du7iJjPsBCoPVx0zy97SMw%3D%3D&trackingId=yo4%2Fmnw7GBdA5qzU7MY0aQ%3D%3D

Job Description: 
Boston Agent House


AI Systems Builder

United States · 16 hours ago · 26 applicants

Company review time is typically 1 week

Remote
Full-time
No longer accepting applications

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About the job
Location: Remote

 Type: Full-time, part-time, or paid contract

The Role
You will help design and build AI-powered systems that replace messy, manual work with automated workflows and agents.

This is a hands-on builder role. You will:

Turn vague ideas into working AI systems
Build agent pipelines using LLMs, APIs, and simple UIs
Experiment quickly, learn fast, and iterate in public
Support multiple real-world use cases across clients and internal projects
You will not be maintaining legacy code. You will not be stuck on one narrow feature.

What You’ll Actually Work On
Examples of projects:

AI agents that read documents and extract insights
Workflow automation replacing spreadsheets and email chains
Internal tools for research, marketing, IP, and operations
Lightweight dashboards that make AI outputs usable by humans
Expect ambiguity. Expect fast feedback. Expect to ship.

Who This Is For
This role is intentionally broad.

You might be:

Early in your career and want real AI experience
A career switcher with strong technical curiosity
A builder who learned by doing, not by credentials
Someone frustrated by theoretical AI roles with no shipping
You do not need:

Formal ML training
Prior agent experience
Perfect code
You do need:

Comfort learning in public
Willingness to experiment and fail quickly
Clear thinking and follow-through
The ability to explain your decisions
Tools You’ll Likely Touch
LLM APIs (OpenAI, Google)
Agent and workflow frameworks
Low-code and no-code platforms
Basic frontend and backend tooling
Databases and APIs when needed
Exact stack is flexible. Outcomes matter more than tools.

Why This Role Exists
Boston Agent House is building practical AI systems for real users. We need builders who want reps, not resume lines.

This role is about:

Building a portfolio of real AI systems
Learning faster than you would in a large company
Working directly with founders and users
Growing into more responsibility quickly
What You Get

Competitive cash + meaningful upside (role-dependent)
Direct access to founders and customers
Freedom to experiment and publish
A portfolio of real AI systems—not slideware

Requirements added by the job poster

• Authorized to work in the United States

• 10+ years of work experience with Google Cloud Platform (GCP)

• 6+ years of work experience with AI Prompting

• Master's Degree