If you’re a software engineer excited about AI, automation, and building production systems that have a measurable business impact, this could be a strong opportunity to explore. UpSmith is looking for an AI Software Engineer to join its remote-first engineering team and help build scalable systems and AI-powered solutions for home-service businesses. The role offers substantial technical ownership, opportunities to influence architecture, and a competitive $100,000–$150,000 USD salary range.
Job Overview
| Field | Details |
|---|---|
| Company Name | UpSmith |
| Role | AI Software Engineer |
| Qualification | Bachelor Degree |
| Job Location | Remote – United States |
| Salary | $100,000–$150,000 USD |
| Work Type | Remote |
| Job Type | Full-Time |
| Job Level | Entry – Senior Level |
| Industry | Technology, AI & Software |
Job Description
We’re hiring Software Engineers to own core platform systems as we scale. This is a high-ownership role on a small team. You’ll shape technical direction, make architectural decisions, and ship end-to-end. The specific problems will shift as we grow – what stays constant is that you’ll own technically complex systems with direct, measurable business impact. You’ll work closely with the rest of the engineering team as well as the ops team that manages client relationships.
Requirements
The Kind of Work You’ll Do
To give you a sense of the problems on – not an exhaustive list, but representative of the type and complexity of work at this level:
- Decision systems. Building the logic that determines which customers to contact, when, and why – and making that logic configurable, auditable, and increasingly intelligent over time.
- Data infrastructure. Making our data trustworthy, queryable, and actionable – the analytics foundation that powers targeting, reporting, and client-facing products.
- Supply and demand. Connecting real-time technician availability to outreach decisions, agent conversations, and client reporting so the platform responds to what’s actually happening on the ground.
- Client-facing visibility. Our clients need to see what’s happening with their campaigns without emailing us. That means dashboards, attribution, full-funnel tracking, and alerting – built on the analytics layer and designed for people who aren’t technical.
- System evolution. We have production systems serving real clients that need to be replaced incrementally. You’ll design migration strategies, run parallel validation, and cut over without disrupting active campaigns.
What We’re Looking For
- You drive impact. You work to find the next thing big thing that will bring value to the team and company. You influence the team and company in an honest and positive way. You build up and support your teammates.
- You’ve built systems that make decisions at scale. Whether that’s ad targeting, recommendation engines, marketplace matching, or campaign orchestration – you’ve designed pipelines where the system decides who gets what, and you’ve dealt with the operational complexity that comes with it.
- You think in data models. You know how to design schemas that absorb business complexity without becoming unmaintainable. You’re comfortable with the tradeoffs between normalized relational models, EAV patterns, and JSONB escape hatches – and you know when each is appropriate.
- You’re pragmatic about shipping. You design for incremental delivery, not big-bang rewrites. You’ve migrated production systems while they were running and know what it takes to do that safely.
- You close the loop. You don’t just build the pipeline – you think about how to measure whether it’s working, how to surface failures before clients notice, and how to use outcome data to improve the system over time.
- You write clearly. Engineers at UpSmith write design docs that the team can build from. You’ll spend meaningful time articulating your approach before you start coding.
Technical Environment
- Backend: Python, PostgreSQL, SQLAlchemy
- Data: dbt, Prefect, incremental models, SCD Type 2 snapshots
- Infrastructure: Kubernetes, AWS (S3, SQS, EventBridge)
- AI/ML: LLM-powered conversational agents, with growing opportunities to introduce ML-based optimization into targeting and prioritization
- Integrations: ServiceTitan (field service management), CRM systems
Selection Process
- Application Submission – Submit your application and updated resume.
- Application Review – The hiring team reviews your background and technical experience.
- Initial Interview – Discuss your experience, interests, and suitability for the role.
- Technical Assessment/Interview – Demonstrate software engineering, architecture, and problem-solving skills.
- Team/Final Interviews – Meet relevant team members and discuss technical ownership and collaboration.
- Final Decision & Offer – Selected candidates receive an offer and onboarding information.
How to Apply
- Review the AI Software Engineer position and eligibility requirements.
- Prepare an updated resume highlighting your software engineering, AI/ML, cloud, and production-system experience.
- Submit your application through the available job application page.
- Complete any required screening or technical assessments.
- Attend the interview rounds if shortlisted.
- Follow up with the recruiting team regarding the next steps.
