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About the Role
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.
Workplace
- Herzliya
