{"id":1292667,"url":"https://alion.io/job/field-materials-ai-engineer","title":"AI Engineer","company":{"id":2031977,"name":"Field Materials","domain":"fieldmaterials.com","url":"https://alion.io/company/fieldmaterials","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-04T11:39:51Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-09-30T05:28:36Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"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.\nWe're post-PMF and scaling: already processing $3B+ in material purchase volume across 16 construction trades.\nTech Stack:\nGenerative 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.\n\nGo, 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.\n\nBidirectional integrations with unified data model across 13+ construction systems & on-prem connector. REST APIs, ODBC, COM, and others.\n\nWe 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.\n\nWe’re looking for AI engineers who want extreme ownership. You’re not just a research scientist; you own models, data pipelines, evaluation suites, and AI product features.\nAbout You:\nYou are excited about startups and new products.\n\nYou enjoy solving complex problems and iterating fast.\n\nYou realize that products are built iteratively and specs evolve with customer feedback.\n\nYou care about system and code design: well architected code is easier to understand, refactor, evolve, and inherit.\n\nYou enjoy optimizing AI-enabled features to automate tedious work with high financial impact for customers.\n\nYou prefer well thought-out, scientific solutions.\n\nWhat We Look For:\nBS (or higher) in Mathematics, Computer Science, or related technical field.\n\n2-5+ years of production level experience in Backend Engineering or AI Engineering.\n\nExperience in designing, evaluating and integrating AI models and data pipelines.\n\nExperience with document data extraction problems.\n\nExperience working with SQL databases and complex data models.\n\nStrong foundation in algorithms and data structures and their real-world use cases.\n\nProficiency with Golang is a nice-to-have.\n\nBenefits:\nFlexible time off\n\nEquity awards\n\nGym reimbursement\n\nPersonal development fund for books, courses, certifications and conferences\n\nSwanky new MacBook Pro\n\nWork headphones reimbursement\n\nAnnual offsites at fun locations across Europe","description_format":"text","description_chars":2620,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Apple Macbook","Equity","Flexible time off"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United Kingdom","iso":"GB","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Norway","iso":"NO","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Switzerland","iso":"CH","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Iceland","iso":"IS","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Liechtenstein","iso":"LI","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Travel Technology","Supply Chain","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-09-26T08:31:02Z"}],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.653,"p_room":0.55,"age_days":25,"expected_fill_days":23,"reasons":["conf:0","win:tail","comp:junior"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/field-materials-ai-engineer","json_url":"https://alion.io/job/field-materials-ai-engineer.json","meta":{"generated_at":"2026-09-30T06:41:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4740,"day_limit":5000,"remaining_today":260,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}