Software Engineer Lead (Hybrid)

About the role

The role involves leading the engineering delivery of a fully built-from-scratch AI-powered platform designed to transform the American real estate industry's data processing systems. This includes developing databases, APIs, operational tooling, and integrating AI-integrated workflows.

Responsibilities

• Lead engineering delivery of the full platform — databases, APIs, operational tooling, AI-integrated workflows.
• Collaborate with AI engineers on how models and infrastructure fit together.
• Partner with operational teams to translate real workflows into system design.
• Own the engineering decisions — architecture, tooling, technical direction.
• Build the operational workbench frontend from scratch.
• Design and build the data layer — production schemas that track every field from raw document extraction through derivation and normalization, with full audit trail.
• Integrate AI/ML workflows — structured LLM output, model serving, provenance tracking, evaluation infrastructure, and feedback loops that drive continuous improvement.

Requirements

• 8+ years of software engineering experience with progressive technical leadership.
• Deep database design — relational schema architecture, migrations, indexing, SQL fluency. PostgreSQL preferred.
• Full-stack development — strong backend (Python/FastAPI or equivalent), frontend (React, NextJS preferred, or equivalent).
• AI/ML integration experience — you build the production systems around models: serving endpoints, workflow orchestration, structured LLM output, confidence scoring.
• Document processing or OCR pipelines — layout analysis, structured text extraction, document understanding. The extraction pipeline starts with a layout parser.
• Workflow system design — claim/lock patterns, status transitions, multi-stage review.
• Cross-functional and distributed team leadership — you’ve driven delivery across time zones, functions, and skill sets.
• Cloud platform experience — GCP preferred (Cloud SQL, Cloud Run, BigQuery). AWS or Azure transfers. Comfortable coordinating with enterprise infrastructure, network, and security teams.
• Bachelor’s degree in CS or related field, or equivalent experience.
• Agentic AI experience — designing or building multi-step AI workflows where models plan, execute, and evaluate autonomously.
• UI component libraries and state management — MaterialUI (or similar design system), Redux, Zustand, or equivalent.
• Containerization — Docker, Kubernetes, or similar.
• Observability — OpenTelemetry, structured logging, drift detection.
• LLM orchestration or RAG architecture — LangChain, vector databases, or similar.

Qualifications

• Builder’s mindset — energized by new problems where no playbook exists.
• Deeply AI-fluent — you use AI tools daily to accelerate your work and push those around you to do the same.
• Operationally fluent — you sit in workflow reviews, absorb the domain, ask the right questions, and translate what you learn into system design. You make complex technical work legible to non-technical teammates.
• Ownership — you see the gap, scope the solution, and ship it.
• Curious and always learning — you stay current not because you’re told to, but because you can’t help it.
• Strategic and scalable thinker — you evaluate trade-offs and choose approaches that scale and last.
• Mentor by default — you make the people around you better through code review, architecture discussions, and explaining your reasoning out loud.

Skills

• Builder’s mindset — energized by new problems where no playbook exists.
• Deeply AI-fluent — you use AI tools daily to accelerate your work and push those around you to do the same.
• Operationally fluent — you sit in workflow reviews, absorb the domain, ask the right questions, and translate what you learn into system design. You make complex technical work legible to non-technical teammates.
• Ownership — you see the gap, scope the solution, and ship it.
• Curious and always learning — you stay current not because you’re told to, but because you can’t help it.
• Strategic and scalable thinker — you evaluate trade-offs and choose approaches that scale and last.
• Mentor by default — you make the people around you better through code review, architecture discussions, and explaining your reasoning out loud.

Benefits

• Health
• Dental
• Vision
• 401K Match

Pay

The estimated base pay range for this position is $172,620 per year. Pay is based on a number of factors including job-related knowledge, skills, experience, business requirements, and geographic location.

Schedule

This role offers a hybrid schedule with 3 days/week on-site in Santa Ana, CA.