CO
Principal AI Engineer
✓ Türkiye'ye açıkAI / MLLead / Staff+Yayın: 25 Ekim 2026
Cotiviti, merkezi bir AI platformu ve agentic çerçeve geliştirecek bir Principal AI Engineer arıyor. Rol; ölçeklenebilir AI ajanları tasarlamayı, platformu sürdürmeyi, ekibe teknik liderlik etmeyi ve 8+ yıl yazılım deneyimi ile Python bilgisini gerektiriyor.
Bu ilana nasıl başvurulur?AI destekli öneri · orijinal ilan esastır
CV anahtar kelimeleri
MLOpsAI AgentsPythonAWSGCPAzureKubernetesDockerMicroservicesDistributed SystemsDatabricksLangChain
Şirketin öncelikleri
- Ölçek, performans ve güvenilirlik
Conduct performance analysis and capacity planning to ensure platform scalability Qualifications Bachelor’s or Master’s degree in Computer Science,…
- Güvenlik ve uyumluluk
Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle.
- Ürün ve kullanıcı odaklılık
…with Product Engineers to integrate AI agents into customer-facing applications and internal tools Lead technical discussions, mentor junior engineers, and…
Muhtemel mülakat konuları
- ML/LLM vaka çalışması: MLOps seçimi, değerlendirme (eval) ve canlıya alma
- Davranışsal: “Ölçek, performans ve güvenilirlik” konusunda STAR formatında 1–2 örnek
Konumlandırma: CV'nin ilk satırında MLOps, AI Agents, Python deneyimini öne çıkar, bunu ölçek ve performans sonuçlarınla 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)
Overview Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of our organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability. The role will work closely with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams. Responsibilities Design and implement scalable agentic solutions for diverse use cases Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of agents Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap. Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle. Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions. Conduct performance analysis and capacity planning to ensure platform scalability Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure. Experience in building large-scale distributed systems and microservices. Strong programming skills in Python. Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. Experience with containerization and orchestration (e.g., Docker, Kubernetes). Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks Cloud platform experience (AWS, GCP, or Azure). Originally posted on Himalayas