Backend Engineer - AI/LLM Applications
# Backend Engineer - AI/LLM Applications **apricot** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Backend-Engineer]` `[LLM-Engineer]` `[AI-Engineer]` `[Full-Stack-Engineer]` `[AI-Backend-Engineer]` `[Backend-AI-Engineer]` `[Backend-AI-Engineering]` `[AI-ML-Backend-Engineering]` `[ML-Backend-Engineering]` --- ### About the Role This is a remote position. - Project Scope: Full-Time Engineering Role - Location: Remote -Open to candidates across the MENA region, including candidates based in Gaza and the Occupied Palestinian Territories. - Role Type:Full-Time Contractor - Reports to: You will work closely with the founders and product team to design, build, and maintain backend services and APIs, translating product and customer needs into secure and reliable features. - Time-zone overlap requirement:Must be comfortable and available to collaborate9am–1pm Pacific time. The opportunity Our client is looking for aBackend Engineerto help build and improve anAI-powered legal technology platform. The platform helps law firms handle new-client inquiries and automate workflows. This is an opportunity to join a small team where engineers work closely with the founders and product team, helping shape features from idea through production.The role will involve backend development, AI/LLM integrations, databases, APIs, and cloud services. About the Organization Our client builds AI-powered legal technology that helps law firms handle new-client inquiries and automate workflows. The team is focused on building practical software that improves how legal teams manage customer interactions and internal processes. What you will do - Design, build, and maintain backend services and APIs. - Translate product/customer needs into secure, reliable features from design through production. - Design database schemas, migrations, and customer-data access rules. - Integrate AI/LLM services into production workflows with checks for errors and unreliable results. - Build messaging, document-processing, and workflow-automation integrations. - Deploy and monitor containerized cloud services. - Collaborate with founders and the product team on technical decisions and product improvements. Requirements What you bring Must-haves: - 3 years of backend or full-stack engineering experience. - StrongTypeScriptskills and production experience with. - Experience building APIs and working with relational databases, especiallyPostgreSQL. - Good understanding of secure data access and reliable production services. - Experience deploying services usingcontainers and cloud platforms. - Hands-on experience integratingAI or LLM servicesinto software products. - Clear communication, sound judgment, and comfort working in a small team with changing priorities. Nice-to-have: Spanish speaking is a big plus. How the engagement works - The hiring process begins with a conversation with the client to discuss your experience, technical background, and approach to building backend and AI-powered products. - You are expected to provide your own laptop and basic equipment, maintain reliable connectivity, and have a secure working environment suitable for client work. - The engagement is full-time contractor - If you contract through Apricot, planned check-ins are [month 1 and month 3 / other approved cadence] to see how the engagement is working and help address issues. About Apricot Apricot is a non-profit sourcing firm connecting displaced and underserved professionals from Palestine and the wider MENA region with global employment opportunities. We combine a clear social-impact mission with fast, high-quality recruitment delivery for international clients. Originally posted on Himalayas
- Backend-Engineer
- LLM-Engineer
- AI-Engineer
- Full-Stack-Engineer
- AI-Backend-Engineer
- Backend-AI-Engineer
- Backend-AI-Engineering
- AI-ML-Backend-Engineering
- ML-Backend-Engineering
Наблюдалась 2026-10-09, впервые 2026-10-08, источник — Himalayas (JSON API).