CodeValue
Senior AI Engineer
CodeValue is hiring a Senior AI Engineer in Herzliya to design, build, and deploy LLM-based and agentic systems from PoC to scalable production. The role centers on Python backend development, agentic frameworks like LangGraph/CrewAI, and cloud deployment with strong observability and reliability.
- Compensation
- Not disclosed
- Location
- Herzliya, Israel
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Nice to have
- Experience with Model Evaluation and Prompt Engineering
- Experience with Kubernetes
- Experience with MLflow
- Experience with AI/Security tooling
Full 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).
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- 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.