- מיקום
- הרצליה, מרכז
- היקף משרה
- משרה מלאה
- תפקיד
- דאטה סיינטיסט
תיאור המשרה
Description
CodeValue is looking for a hands-on Senior AI Engineer with real-world experience building and deploying LLM-based and Agentic Systems to production.
You will be responsible for taking AI solutions from concept to reliable, scalable production systems, working across AI, backend, cloud, and infrastructure.
Responsibilities
- Design, develop, and deploy LLM-based and Agentic Systems for production environments.
- Take AI/Agentic solutions from PoC and concept stages to stable, scalable, and reliable production systems.
- Develop backend services and AI solutions using Python.
- Work hands-on with agentic frameworks such as LangGraph, CrewAI, or similar/custom frameworks.
- Deploy and operate AI systems in cloud environments.
- Troubleshoot complex system issues and improve observability, reliability, and performance.
- Collaborate with development, DevOps, security, and other technical teams.
Requirements
- · 5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems.
- · Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures.
- · Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows.
- · Strong experience with Azure Cognitive Services.
- · Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch).
- · Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes).
- · Comfortable working with multi-cloud environments (Azure, AWS, or GCP).
- · Experience with Agile/Scrum development methodologies.
- · Strong communication skills and fluency in English (spoken and written).
- Preferred Qualifications/ Skills
- · Experience with building high-performance distributed systems.
- · Familiarity with agentic frameworks for multi-step reasoning or workflow automation.
- · Exposure to AI model governance, data compliance, and MLOps pipelines.
- · Background in Computer Science or related technical degree.
