Senior AI Engineer, Conversational AI

🔥 1 hour ago

🌐 Egypt, Poland, +4 more countries – Remote

🇪🇬 Egypt – Remote 🇵🇱 Poland – Remote 🇹🇳 Tunisia – Remote 🇿🇦 South Africa – Remote 🇷🇴 Romania – Remote 🇭🇷 Croatia – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

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RemoFirst

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

👥 HR Tech

☁️ SaaS

🤝 B2B

HR Tech • SaaS • B2B

RemoFirst is a global HR platform and Employer of Record (EOR) provider that helps companies hire, onboard, pay, and manage employees and contractors in 185+ countries without creating local entities. The company combines AI-powered tools (recruiter agent, payroll reconciliation, HR task manager) with services such as global payroll in multiple currencies, contractor payments in 150+ countries, visas and work permits in 110+ countries, international health insurance, background checks, and compliance support. RemoFirst targets fast-growing teams and enterprises, offering a single SaaS platform for global hiring, payroll, benefits, and workforce management, plus resources and integrations for HR and finance teams.

📋 Description

• Design, develop, and maintain production-grade conversational AI systems • Own AI features from technical design through deployment and production support • Design scalable AI architectures and agent workflows • Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines • Improve AI quality through experimentation, evaluation, and data-driven optimization • Integrate multiple AI providers and select the best models for different use cases • Monitor production AI systems and improve reliability, quality, and performance • Collaborate with product, frontend, and backend teams to deliver end-to-end AI features • Review technical designs and contribute to engineering best practices • Troubleshoot complex AI and production issues • Stay current with Generative AI advancements and apply them where they create business value

🎯 Requirements

• 5+ years of experience building AI-powered applications in production • Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks • Proven experience designing and developing conversational AI systems, including voice and/or chat applications • Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines • Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing • Demonstrated experience improving AI quality through iterative evaluation and experimentation • Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code • Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar • Experience deploying, monitoring, and maintaining AI applications in production environments • Full-stack development experience with modern backend and frontend technologies • Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments • Strong analytical and problem-solving skills • Ability to evaluate AI approaches based on quality, reliability, latency, and cost • Ability to independently own complex AI projects from design through production with minimal supervision • Nice to have: experience building traditional ML applications • Nice to have: experience with AI observability, tracing, and monitoring • Nice to have: experience mentoring engineers and driving engineering best practices

🏖️ Benefits

• Startup environment with opportunity to influence, grow rapidly, and build a tech unicorn • Growth opportunity at an AI-forward company driving innovation through artificial intelligence • Direct impact on revenue growth, customer support, and market differentiation • Autonomy and accountability with no bureaucracy or lengthy approval process • Opportunity to work on a project serving market-leading companies including Microsoft and Mastercard • Leadership visibility and reporting into the Lead AI Engineer • Competitive compensation • 100% remote work • Respectful, kind, and inclusive culture • Right to fail • Work with colleagues from top tech companies