AI Engineer
CodeValue
- Location
- Onsite (Herzliya, Israel)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the role
CodeValue is a leading software company seeking a Senior AI Engineer to design, develop, and deploy scalable LLM-based and agentic systems from concept to production. The role focuses on building reliable, high-performance AI solutions within a collaborative technical environment.
Skills
Python
LLM
Agentic Systems
LangGraph
CrewAI
Cloud Deployment
Backend Development
System Debugging
Observability
Reliability
Kubernetes
MLflow
Prompt Engineering
Model Evaluation
Security Tooling
Full job details
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
- Proven hands-on experience working with LLMs and Agentic Systems.
- Strong experience taking LLM/AI solutions into Production.
- Strong Python and Backend development experience.
- Experience with Cloud deployment, system debugging, observability, and reliability.
- Hands-on experience with LangGraph, CrewAI, or similar/custom agentic frameworks.
- Strong understanding of building scalable and reliable AI systems.
Advantages
- Experience with Model Evaluation and Prompt Engineering.
- Experience with Kubernetes.
- Experience with MLflow.
- Experience with AI/Security tooling.