• Engineer Agentic Deployments: Design, build, and ship multi-step, multi-modal agentic workflows (voice, SMS, video, chat, web) tailored to specific customer use cases. Own these systems end-to-end from requirements through production monitoring. • Solve Hard Problems Creatively: Each deployment surfaces novel challenges: complex scheduling logic, real-time EHR data flows, multi-outcome conversations, adaptive patient journeys. You are expected to think independently and build solutions that go beyond existing patterns. • Translate Requirements into Technical Designs: Partner with Customer Success and stakeholders to understand operational needs, then architect agentic workflows that address them. Push back when requirements don't make sense. Propose better approaches when you see them. • Ship to Production with High Standards: Deploy and operate customer-facing systems with strict reliability, compliance, and quality requirements. Instrument thoroughly, monitor outcomes, and iterate based on real-world performance. • Contribute to the Platform: Identify reusable patterns across deployments and contribute them back as platform capabilities. Improve shared tooling, workflow primitives, and infrastructure based on what you learn in the field. • Cross-Functional Collaboration: Work with product, data, engineering, and clinical teams to align deployment work with broader platform direction and company goals.

• Design, develop, and operate backend services that power Arbiter's core platform, with an emphasis on reliability, modularity, and clean system boundaries. • Build and maintain robust connections to third-party systems (e.g. cloud APIs, AI services, data exchange services, EHRs, telephony platforms). Own the abstractions that make these integrations reusable and adaptable across customers with minimal rework. • Design and operate high-scale APIs (REST, gRPC, webhooks) and manage complex data flows including real-time streaming, batch processing, file-based exchange (e.g. SFTP, HL7, EDI), and event-driven pipelines. • Ensure high throughput, low latency, and fault tolerance across backend services through strong system design, monitoring, alerting, and operational best practices. Handle vendor failures, retries, idempotency, and graceful degradation. • Build and maintain ETL/ELT pipelines, manage schema evolution, and ensure data quality and integrity across systems with varying formats, standards, and reliability. • Implement and uphold best practices for CI/CD, testing, observability, and deployment of backend systems in production cloud environments. • Partner closely with AI engineers, product managers, implementation teams, and customer stakeholders to translate ambiguous, high-impact problems into scalable technical solutions. • Mentor engineers, contribute to internal documentation and standards, influence technical direction, and raise the overall engineering bar. • Take end-to-end ownership of critical systems, including participating in on-call rotations and leading incident resolution when production issues arise.

Role Description We are seeking a highly skilled and motivated Java Developer to join our dynamic team. The ideal candidate will have expertise in developing robust, scalable, and secure applications using Java 17, Spring Boot, and PostgreSQL. You will work on cloud-based solutions leveraging Google Cloud Platform (GCP) and contribute to CI/CD pipelines using Jenkins and Git. - Design, develop, and maintain backend services and APIs using Java 17 and Spring Boot. - Implement and optimize database solutions using PostgreSQL. - Deploy, monitor, and manage applications on Google Cloud Platform (GCP). - Collaborate with DevOps teams to build and maintain CI/CD pipelines using Jenkins. - Utilize Git for version control and collaborate with team members on code reviews and branching strategies. - Ensure application performance, scalability, and security through best practices and testing. - Troubleshoot and resolve technical issues in a timely manner. - Work closely with cross-functional teams to gather requirements and deliver high-quality solutions. Qualifications - Strong experience with Java 17 and object-oriented programming principles. - Proficiency in building microservices and RESTful APIs using Spring Boot. - Hands-on experience with PostgreSQL for database design, queries, and optimization. - Familiarity with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, and Cloud SQL. - Experience with CI/CD tools, particularly Jenkins. - Proficient in using Git for version control and collaboration. - Solid understanding of software development lifecycle (SDLC) and Agile methodologies. - Strong problem-solving skills and attention to detail.

Role Description You'll be joining the team as a backend engineer responsible for architecting and owning the core platform powering the predictive intelligence system. This includes: - Authentication - Metering - AI pipeline orchestration - Billing You'll work directly with leadership and influence every major technical decision. What You'll Own - Authentication & Identity: Firebase Auth, SSO foundations, tenant/user modeling, tier-based feature gating - RCA Engine: Vertex AI/Gemini integration, prompt engineering, structured response parsing, high-performance request routing - Storage & Data Layer: Redis for ephemeral RCA storage, DuckDB + Kafka (Pub/Sub on GCP) for persistent data, Cloud SQL + pgvector for embeddings - Quota & Usage Management: Monthly RCA limits, trial tracking, enforcement logic, upgrade triggers - Billing & Subscriptions: Stripe integration, webhooks, lifecycle automation, tier transitions - Observability & Reliability: Logging, metrics, tracing, error tracking, audit logs, health checks Qualifications - 4+ years backend engineering experience (Python or Node.js preferred) - Production RESTful API experience - Hands-on GCP services experience (Cloud Run, BigQuery, Cloud SQL, or equivalents) - LLM API integration and tuning experience (Vertex AI, OpenAI, Anthropic, etc.) - Stripe (or similar) billing/subscription integration experience - End-to-end system ownership in fast-moving teams - Strong debugging, performance tuning, and reliability engineering fundamentals Requirements - Firebase Authentication (or equivalent identity platforms) - Redis for caching or ephemeral data - Apache Iceberg, data lakes, or multi-tier storage design - Freemium/tiered SaaS product experience Benefits - Competitive Salary: 160-180/h - Start: ASAP - Stable Employment: Contract signed with our Polish entity (Entrada AI Poland) - 100% Remote: Full flexibility to work from anywhere in Poland - Apple Hardware: Macbook Air M4 15" provided - Referral Bonus: Bonus for bringing other top-tier engineers to the team - Professional Growth Recruitment Process - Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations - Technical Interview (60 min): Deep dive into your technical skills with our engineering team - Optional Client Interview: Required only in specific cases - Decision & Offer: We aim to close the process efficiently