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Senior AI Engineer

CodeValue

Where
Herzliya, Israel, hybrid
Language, from the listing
No Hebrew mentioned. Mentions EnglishA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
Dates
Found 27 Sept 2026
Last checked on the employer's site
2 h ago (6 Oct 2026)
Source
Employer career page (Comeet)

What they ask for

  • · 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).
  • · 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.

Nice to have

  • Preferred Qualifications/ Skills

The full listing

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.