AI Software Engineer
New
U
UpSmithHome Services AI Platform
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSPostgreSQLPythonKubernetesdbtLLM
Requirements
- Ability to drive impact and identify valuable contributions to the team and company.
- Experience building systems that make decisions at scale (e.g., ad targeting, recommendation engines, marketplace matching).
- Proficiency in designing data models and schemas that handle business complexity.
- Understanding of tradeoffs between normalized relational models, EAV patterns, and JSONB.
- Pragmatic approach to shipping, favoring incremental delivery and safe migration of production systems.
- Ability to close the loop: measuring performance, surfacing failures, and using outcome data for improvement.
- Strong clear writing skills for design documentation.
- Experience with Python, PostgreSQL, SQLAlchemy.
- Familiarity with dbt, Prefect, incremental models, SCD Type 2 snapshots for data.
- Knowledge of Kubernetes, AWS (S3, SQS, EventBridge) for infrastructure.
- Experience with LLM-powered conversational agents.
- Opportunities to introduce ML-based optimization into targeting and prioritization.
- Experience with integrations like ServiceTitan or CRM systems.
Responsibilities
- Build decision systems that determine customer contact logic, making it configurable, auditable, and intelligent.
- Develop data infrastructure to ensure data is trustworthy, queryable, and actionable for analytics and client products.
- Connect real-time technician availability to outreach decisions, agent conversations, and client reporting.
- Create client-facing dashboards, attribution, full-funnel tracking, and alerting built on the analytics layer.
- Design migration strategies, run parallel validation, and cut over without disrupting active campaigns for system evolution.
- Own core platform systems and scale them effectively.
- Shape technical direction and make architectural decisions.
- Ship end-to-end solutions with direct, measurable business impact.
- Work closely with engineering and ops teams.
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