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AI Engineer at CodeValue

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

0.0

Posted On

10 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM Systems Design, LangGraph, CrewAI, LangChain, RAG Architectures, Prompt Engineering, Tool Calling, Memory Management, Model Evaluation, MLOps, Cloud-Native Systems, CI/CD Pipelines, Distributed Architectures, API Development, Software Engineering

Industry

Software Development

Description

CodeValue is a leading software development and technology consulting company, partnering with startups and enterprise organizations to deliver innovative, production-grade solutions across cloud, AI, cybersecurity, data, and digital platforms. We are expanding our AI engineering capabilities and looking for a Senior AI / Agentic Systems Engineer to lead the design and implementation of advanced agentic systems that solve real-world engineering and operational challenges. This role combines hands-on software engineering, LLM systems design, MLOps, and platform thinking. You will work closely with engineering teams, architects, and customers to build scalable AI-driven solutions that move beyond experimentation into reliable production environments. Requirements 5+ years of hands-on software engineering experience. Proven experience building and deploying LLM-powered applications or agentic systems in production environments. Strong experience with Python backend development. Hands-on experience with frameworks such as LangGraph, CrewAI, LangChain, or custom agent orchestration systems. Strong understanding of RAG architectures, prompt engineering, tool calling, memory management, and model evaluation methodologies. Experience with cloud-native systems, APIs, CI/CD pipelines, debugging, and distributed architectures. Ability to design scalable, maintainable, and secure AI-driven systems. Strong communication skills and ability to work in customer-facing technical environments.

Responsibilities

Lead the design and implementation of advanced agentic systems to solve real-world engineering and operational challenges. Collaborate with architects and customers to transition AI solutions from experimentation to scalable production environments.