{"id":4276656,"url":"https://alion.io/job/idn-recruitment-backend-engineer-foundations","title":"Backend Engineer, Foundations","company":{"id":4485857,"name":"IDN Recruitment","domain":"idnrecruitment.com","url":"https://alion.io/company/idn-recruitment","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleForce","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Redis","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Dagster","optional":true},{"name":"Go","optional":true},{"name":"Neo4j","optional":true},{"name":"Python","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-11-13T19:11:01Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T19:11:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the CompanyOur client is an AI-native platform powered by use-case-tailored legal ontologies and knowledge graphs, deploying multi-step agentic frameworks to perform legal analysis and produce actionable outputs in real time.\nRole Objective\nThe role is critical for architecting the APIs, workflows, and data layer that internal services, agentic systems, and enterprise law firm customers rely on, while helping establish strong engineering foundations as the backend team scales in a fast-paced, seed-stage environment.\nResponsibilities\nDesign, build, and scale the knowledge graph infrastructure and data pipelines that turn unstructured legal documents into structured, queryable legal ground truth\nArchitect and implement public-facing APIs that internal services, agentic systems, and customers rely on\nBuild DAG-based processing workflows on Prefect for extracting, transforming, and reconciling legal data from source documents\nScale the platform to handle rapidly growing data volumes - processing thousands of documents per data room with 5-10x growth expected in the coming months\nOperate and maintain services on Kubernetes - deployment, observability, and performance tuning\nPartner with AI researchers and engineers to integrate agentic systems into production workflows\nHelp establish strong engineering foundations and standards as the backend team scales, ensuring systems remain available, durable, and secure for enterprise law firm customers with strict tenant isolation requirements\nShape the data layer architecture - scaling reads and writes on the graph, managing Postgres and Redis for application data and caching\n RequirementsExperience: 3+ years of backend engineering experience with strong systems design fundamentals, building production backend systems.\nWork Environment Fit: comfortable working in a fast-paced, seed-stage environment (expect 70-80 hour weeks, 5 days in office).\nData Perspective: strong perspective on data, databases, and system design.\nBonus Skills: experience with graph databases like Neo4j, SRE/infrastructure work, or cloud-native multi-cloud environments is a plus.\nTech Stack: Python, Neo4j, Prefect, PostgreSQL, Redis, Kubernetes, Go, Rust, Zig, Kafka, Airflow, Dagster, Temporal.\n What We OfferWork Format: On-site, 5 days in-office\nLocation: New York, NY.\nSalary: competitive.\nEquity: Competitive equity.\nVisa Sponsorship: Available - 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