Backend Engineer

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NIR-YU

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎯 Recruiter

👥 HR Tech

🏢 Enterprise

Recruitment • HR Tech • Enterprise

NIR-YU is a company dedicated to empowering small and medium enterprises (SMEs) by providing tailored nearshore staffing solutions. They focus on strategic recruitment of skilled nearshore professionals, offering cost-plus pricing for transparency and affordability. Their services include staff augmentation, staff leasing, talent acquisition, and employer of record (EoR), aimed at helping SMEs gain access to a skilled workforce from Latin America. By facilitating the hiring of remote talent and ensuring compliance with local regulations, NIR-YU allows businesses to enhance their teams with English-speaking professionals, optimize costs, and focus on growth strategies without the burden of setting up foreign entities.

📋 Description

• API development: lead the development of our new external API from end-to-end • API design: researching industry leading APIs and problem solving with founders on final openapi spec • Architecture: deciding where to host what frameworks to leverage • Implementation and deployment: building out optimized SQL queries that support dynamic filtering • Building, deploying, and testing agentic microservices that convert natural language / free-text queries into deterministic filters / permalinks • Modernizing our MCP to leverage updated API routes and implement customer-scoped authentication and auditable credit charging • Build our workflow product end to end, similar to n8n, so customers can create recurring automations using our data • Work with founders to define the workflow schema, execution model, and deployment architecture • Implementation and deployment: Build scheduling, execution, persistence, retries, deduplication, and integration suite

🎯 Requirements

• Strong backend engineering experience building production systems from scratch • Strong TypeScript/Node.js or Python skills, plus SQL and Postgres experience • Experience designing APIs, data models, and distributed jobs with authentication, idempotency, retries, and observability • Understands how to use AI tooling (e.g., Claude, Codex) to build maintainable, modular systems without sacrificing quality • Practical experience with LLM-backed systems, agentic frameworks, RAG, structured outputs, evaluations, and deterministic validation • Clear product judgment and communication in ambiguous, fast-moving environments • Deployed production systems using cloud platforms (GCP, AWS, Azure)

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development