Get to know us better

CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).

While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:

• Act to deliver.
• Disrupt to grow.
• Team up to win.

The project and the team

We build software for modern platforms and operating systems, supporting leading networking equipment manufacturers, cloud-native solutions, and infrastructure projects. AI/ML is increasingly at the heart of these initiatives—not as an add-on, but as a core tool to address complex engineering and networking challenges. We are seeking an engineer with a strong software engineering background, solid AI/ML expertise, and experience in at least one of the following domains: system security, cloud-native solutions, or computer networks.

Your role

As a part of the team, will be responsible for:

• Building and integrating AI/ML solutions (including LLMs, RAG, and agents) into networking and infrastructure projects
• Designing and implementing data pipelines to preprocess, enrich, and pass data into AI/ML models
• Developing and refining ML/DL models (PyTorch, Scikit-learn, Transformers, etc.) for practical use cases, including model evaluation, retraining, and optimization
• Collaboration with software engineers and DevOps to deliver production-ready solutions
• Contribution to technical discussions and proposing innovative ways to apply AI/ML in our technical domains

Do we have a match

As a Senior/Mid AI/ML Engineer, you must meet most of the following criteria:

• Solid AI/ML expertise: strong understanding of ML concepts and hands-on experience with classic ML and modern LLM architectures
• Ability to go beyond APIs: experience designing data flows, embeddings, RAG pipelines, fine-tuning, or agent-based systems
• Strong software engineering background (Python, system design, scalable architectures)
• Experience in networking, infrastructure, or DevOps (containerization, cloud deployment
• Strong problem-solving mindset, ability to work independently and in a team
• English at least B2 level, C1/C2 preferred

A perfect match candidate will also possess the following experience:

• Experience deploying AI/ML solutions in production
• Experience with data-intensive systems (streaming, graph or network data)
• Familiarity with MLOps practices and scalable deployment in cloud or hybrid environments
• Hands-on experience with one of the following domains: computer networks, systems security, cloud-native applications

More reasons to join us

• Flexible working hours and approach to work: fully remotely, in the office or hybrid
• Professional growth supported by internal training sessions and a training budget
• Solid onboarding with a hands-on approach to give you an easy start
• A great atmosphere among professionals who are passionate about their work
• The ability to change the project you work on