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Forward Deployed Engineer
✓ Türkiye'ye açık DoğrulandıDevOps / SRE / Cloud16 Ekim 2026
Lexoga (YC destekli bir AI startup'ı adına işe alım yapan aracı) — Müşterilerle birlikte AI değerlendirme (eval) altyapısı kuracak Forward Deployed Engineer arıyor. Ücret: $60k - $180k USD. Türkiye'den başvuru: Himalayas Türkiye filtresinde 'Worldwide'; ilan metninde konum kısıtı yok.
Bu ilana nasıl başvurulur?AI destekli öneri · orijinal ilan esastır
CV anahtar kelimeleri
WorkflowsStartupLLMRAGAgentsForward Deployed EngineerDeployment Engineer
İlan metni kısa; yalnızca ilanda geçen terimler listelendi.
Şirketin öncelikleri
- Ürün ve kullanıcı odaklılık
What You'll Do Work hands-on with customers to establish end-to-end evaluation pipelines Help with data curation, define annotation schemes, and set up…
- AI/LLM ve veri odaklı çalışma
…data curation, define annotation schemes, and set up LLM-based judges Set up and run initial evaluation experiments, producing actionable results Integrate the…
- Uçtan uca sahiplenme ve bağımsız çalışma
…You'll Do Work hands-on with customers to establish end-to-end evaluation pipelines Help with data curation, define annotation schemes, and set up LLM-based…
Muhtemel mülakat konuları
- Altyapı senaryosu: bulut altyapısı; bir incident'ı nasıl çözdüğünü anlat
- Davranışsal: “Ürün ve kullanıcı odaklılık” konusunda STAR formatında 1–2 örnek
🇹🇷 Türkiye notu
- Ücret ilanda USD brüt veriliyor (“$60k”). Türkiye'ye gelen ödeme banka döviz hesabına düşer; net TL'yi hesaplayıcıyla gör. Net TL hesapla →
Konumlandırma: CV'nin ilk satırında Workflows, Startup, LLM deneyimini öne çıkar, bunu kullanıcıya dokunan ürün etkinle destekle; başlığa “Based in Türkiye (UTC+3) · open to contractor/EOR” ekle.
Bu öneriler ilan metninden kural tabanlı olarak çıkarıldı; tırnak içindekiler ilandan alıntıdır. Şirket hakkında ilanda yazmayan bilgi eklenmez. Başvurmadan önce orijinal ilanı oku.
İlan metni (orijinal, İngilizce)
About the Role We’ve partnered with a YC-backed AI startup to find a Forward Deployment Engineer who will work directly with their customers to set up robust evaluation processes using internal tooling. You’ll play a key role in designing and deploying AI evaluation infrastructure, helping customers integrate evaluation pipelines into their workflows, and making sure their systems produce measurable, reliable outcomes. What You'll Do Work hands-on with customers to establish end-to-end evaluation pipelines Help with data curation, define annotation schemes, and set up LLM-based judges Set up and run initial evaluation experiments, producing actionable results Integrate the evaluation tooling with customers' existing infrastructure Translate technical systems into practical, usable workflows for end users You Might Be a Fit If You Enjoy working at the intersection of engineering, product, and customer needs. Have prior experience working with RAG, LLM pipelines, and agents Can navigate ambiguous setups and build structure in complex AI workflows About US Lexoga One helps early-stage and high-growth startups find exceptional engineering and AI talent. We work with some of the most ambitious teams in tech to help them scale by finding the right people, fast. Each role on Lexoga One is curated with deep insight into the team, tech, and impact. Note : We're hiring on behalf of a YC-backed AI startup. Selected candidates will receive company details in the next step. Salary Range $60k - $180k USD Originally posted on Himalayas