AI Engineer
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
Offer value
Exceptional role with significant influence on product direction and high career advancement potential.
- High leverage role impacting service automation in homes.
- Potential for rapid career development in a growing startup.
- Work at the forefront of AI in real-world applications.
Pros
- Role includes building foundational AI systems that impact home services.
- Join a small team influencing company growth from an early stage.
- Opportunities for professional development and innovative project work.
Cons
- Small organization may lead to resource constraints.
- Pressure of fast-paced delivery and product expectations.
- Work may involve uncertainty typical to startups.
Who it's for
Mid-Level to Senior • Remote
Good fit
- Professionals with a passion for AI in everyday services.
- Engineers who thrive in fast-paced, innovative environments.
- Candidates excited to influence product development stages.
Not recommended for
- Individuals seeking a stable corporate job structure.
- Entry-level engineers without relevant project experience.
- Those uncomfortable with uncertainty in rapidly evolving roles.
Motivation fit
Key skills
About the job
About HouseAccount
At HouseAccount, we’re building the modern home services platform, starting with the handyman. We connect homeowners to trusted local providers and make it simple to book, manage, and pay for everything their home needs in one place. By combining vetted pros, transparent pricing, and AI-powered automation, we’re turning home maintenance into something homeowners don’t have to think about.
What You’ll Do
You’ll lead the effort to make HouseAccount truly AI-first, designing, prototyping, and deploying intelligent systems that power how we match, message, and manage home services. You’ll work closely with our product and growth teams to identify repetitive workflows and convert them into smart, automated agents that scale what we do every day.
A typical day might include:
- Building and fine-tuning workflows with OpenAI APIs, Anthropic Claude, or Mistral models
- Using frameworks like LangChain, LlamaIndex, or Vercel AI SDK to connect multiple models and data sources
- Designing retrieval and memory systems that help agents reason across internal data (CRM, outreach logs, provider data)
- Prototyping automations using Zapier, n8n, or custom Python/Ruby scripts before productizing them
- Collaborating with engineering to connect model outputs back to our Rails app via clean APIs
- Experimenting with prompt architectures, tool use, and context management to improve performance and accuracy
You’ll work across the stack, but your focus will be building and scaling agentic systems that make our operations and product smarter.
What Matters to Us
- You’ve built real things with OpenAI or similar APIs - agents, copilots, automations, or internal tools
- You understand how to translate messy real-world processes into structured logic for AI systems
- You’re comfortable working across data pipelines, APIs, and backend logic to get something working end-to-end
- You thrive in fast, iterative environments and care more about getting something live than perfecting it in a doc
- You’re deeply curious about how AI can simplify human work and scale impact
Who You Are
- 3 to 7 years of software or AI engineering experience, ideally in a startup or applied AI setting
- Proficient in Python (FastAPI, Flask, or Django) and comfortable building integrations in JavaScript or TypeScript
- Familiar with LangChain, LlamaIndex, or similar frameworks for orchestration
- Experienced with vector databases like pgvector, Pinecone, or Weaviate
- Familiar with workflow automation tools such as Zapier or n8n
- Bonus: you’ve been a founding or early engineer and thrive in the 0 to 1 stage
Why This Role Matters
You’ll be one of the first engineers shaping how AI is built into the DNA of our product and operations. This role sits at the intersection of engineering, product, and applied research - bringing intelligent systems from idea to production and defining how we scale smarter.
