OP Recruiting is seeking a seasoned Senior Engineer to spearhead the evolution of a sophisticated enterprise platform by integrating advanced AI capabilities with robust distributed systems. This high-impact role involves leading the complete lifecycle of customer-centric features and architecting production-level AI integrations to drive tangible business outcomes.
Responsibilities:
- System Ownership: Lead the complete lifecycle of customer-centric features, from initial architectural design and estimation to deployment and ongoing production maintenance
- AI Orchestration: Architect and maintain production-level Large Language Model (LLM) integrations, including the development of retrieval-augmented generation (RAG) pipelines and automated agentic workflows with human-in-the-loop safeguards
- Reliability & Governance: Implement rigorous evaluation frameworks for mixed deterministic and probabilistic systems, ensuring high standards for observability, security, and behavioral regression testing
- Architectural Evolution: Define and enforce strict API contracts and data schemas while strategically modernizing legacy components to enhance system maintainability and development velocity
- Engineering Excellence: Champion superior coding standards through the creation of pragmatic abstractions, comprehensive documentation, and a culture of meaningful automated testing
- Operational Integrity: Manage model lifecycles and prompt engineering performance, establishing quantitative benchmarks to ensure all AI outputs meet strict acceptance criteria
Requirements:
- Typically 7+ years of experience delivering scalable production software in customer-facing environments
- Expert-level proficiency in C#/.NET or a similar enterprise-grade stack, with a deep understanding of concurrency, performance tuning, and data modeling
- Proven track record of designing distributed services with a focus on versioning discipline and backward compatibility
- Advanced SQL skills (PostgreSQL or SQL Server), including complex schema design and query optimization
- Experience combining traditional code with probabilistic model outputs via validation layers, guardrails, and structured enforcement
- Proficiency in cloud-native environments (Azure, AWS, or GCP) and containerization strategies
- Exceptional debugging skills with a relentless focus on root cause analysis and sustainable architectural fixes
- Experience shipping production-ready RAG pipelines, vector search implementations, and multi-step tool-calling workflows
- Familiarity with tracing prompts, monitoring inference costs/latency, and detecting model drift
- Background building software within frameworks requiring high levels of auditability or regulatory compliance
- Competency in TypeScript frameworks (such as React) and a pragmatic approach to end-to-end testing strategies (e.g., Playwright)
- Experience with Infrastructure-as-Code and maturing CI/CD pipelines