Agentic Software Engineer – Full Stack

🔥 13 hours ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Specright

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $32.9M Series B - Specright on 2021-07

SaaS • B2B • Enterprise

Specright is a specification management software company that provides a cloud-based Specification Data Management (SDM) and spec-first Product Lifecycle Management (PLM) platform. It centralizes product and packaging specifications, ingredients and formulas, bills of materials, supplier collaboration, and project workflows to improve traceability, compliance, sustainability, and speed-to-market. The platform includes modules for packaging management, product data management, supplier collaboration, R&D/formulation tools and an AI assistant that delivers searchable, auditable insights from spec data. Specright serves large enterprises and consumer-product industries (food & beverage, beauty, consumer goods, packaging, life sciences and quick-service restaurants) and emphasizes AI-driven automation, sustainability reporting, and integration with existing systems.

📋 Description

• Design, develop, and deliver agentic products end-to-end, including chat-based interfaces, AI workflow tools, and internal copilots • Use agentic coding tools such as Claude Code, Codex, Cursor, and similar assistants while maintaining code quality and engineering standards • Architect agent internals including tool calling, multi-step orchestration, memory and state management, retrieval pipelines, permissions models, and failure recovery strategies • Build and maintain agent evaluation infrastructure with regression suites, scenario-based tests, golden traces, and offline and online metrics • Implement production-grade observability including distributed tracing, prompt and version tracking, tool-call telemetry, and cost/latency monitoring • Own the full production lifecycle including rollout plans, QA, guardrails, incident response, and continuous improvement of deployed agents

🎯 Requirements

• Proven full-stack engineering ability with production software shipped end-to-end • Hands-on experience building LLM-powered agents that work in production • Ownership of at least 1–2 agentic features or products through deployment and operation • Deep familiarity with agentic coding best practices, including task decomposition, agent delegation, prompt hygiene, iterative loops, and reviewing and steering agentic outputs • Practical experience with agent evaluations and tracing, including trace-based debugging and regression detection • Solid engineering fundamentals in testing, debugging, security basics, performance optimization, and reliability • Proficiency in TypeScript/Node.js and/or Python (nice-to-have) • Experience with modern web stacks and startup-pace delivery (nice-to-have) • Familiarity with prompt/version stores, evaluation harnesses, tracing and telemetry platforms such as OpenTelemetry, LangSmith, Datadog, and Honeycomb (nice-to-have) • Experience with RAG architectures, vector databases, indexing strategies, chunking approaches, and retrieval evaluation (nice-to-have) • Experience designing tool APIs for agents, including structured output schemas, idempotency, rate limiting, and error handling patterns (nice-to-have)

🏖️ Benefits

• 100% remote work • Open and relatively flat organization • Collaborative culture emphasizing sharing ideas and information • Inclusive environment and commitment to diversity • Entrepreneurial, informal, versatile, intelligent, and fast-paced culture