Field Materials develops AI-native construction procurement software. Our AI agents automate workflows in procurement, AP, and inventory management. As a result, our customers spend less time on data entry and manual workflows in legacy ERPs. Our edge is in best-in-class AI and powerful integrations with existing construction ERPs. We're post-PMF and scaling: already processing $3B+ in material purchase volume across 16 construction trades. Tech Stack: • Go, GraphQL & Postgres (gqlgen, pgx, squirrel, dataloaders). Sophisticated data models aligned with ERPs. Complex authorization and approvals. In-house observability for GraphQL. AWS stack: ALB, ECS, RDS, S3. • Bidirectional integrations with unified data model across 13+ construction systems & on-prem connector. REST APIs, ODBC, COM, and others. • Generative AI + optimization algorithms drive document extraction. Models are heavily tuned for the domain. Algorithms, LLMs, and RAGs drive automations. Strong metric-oriented culture with evaluation sets across the board. • We spin out separate services where it makes sense. The construction data model is complex with a lot of business data constraints so we use ACID transactions whenever possible. We’re looking for engineers who want extreme ownership. You’re not just a programmer; you own data models, API design, and distributed systems processing semantics. About You: • You are excited about startups and new products. • You enjoy solving complex problems and iterating fast. • You realize that products are built iteratively and specs evolve with customer feedback • You care about system and code design: well architected code is easier to understand, refactor, evolve, and inherit. • You enjoy building highly complex business applications that scale well with new requirements and new modules. • You care about products that have massive economic impact and have interest in FinTech. What We Look For: • BS (or higher) in Computer Science, related technical field or equivalent practical experience. • 2-5+ years of production level experience in Backend Engineering, preferably in Go. • Strong foundation in algorithms and data structures and their real-world use cases. • Experience working with SQL databases and complex data models. • Experience with distributed systems. • Experience with GraphQL, LLMs, and observability is a plus. Benefits: • Flexible time off • Equity awards • Gym reimbursement • Personal development fund for books, courses, certifications and conferences • Swanky new MacBook Pro • Work headphones reimbursement • Annual offsites at fun locations across Europe