About the role
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