Senior Python Software Engineer with LLM‑Driven Network Data Analytics @ CodiLime

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

The project involves building LLM‑driven workflows to process data ingested into observability platforms. These workflows will classify, filter, and correlate events, enrich and transform log and metric data, and leverage LangChain and LangGraph to power root‑cause analysis.

What else you should know :

We work on multiple interesting projects at the time, so it may happen that we’ll invite you to the interview for another project, if we see that your competencies and profile are well suited for it.

More reasons to join us

Do we have a match?

As a Senior Python Software Engineer with LLM‑Driven Network Data Analytics you must meet the following criteria :

Beyond the criteria above, we would appreciate the nice-to-haves :

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 :

The project and the team

The project involves building LLM‑driven workflows to process data ingested into observability platforms. These workflows will classify, filter, and correlate events, enrich and transform log and metric data, and leverage LangChain and LangGraph to power root‑cause analysis.

What else you should know :

We work on multiple interesting projects at the time, so it may happen that we’ll invite you to the interview for another project, if we see that your competencies and profile are well suited for it.

More reasons to join us

,[Designing and orchestrating LLM-driven workflows tailored to syslog and telemetry analysis, Crafting clear, structured prompts to ensure well-formatted and reliable LLM outputs, Validating responses for relevance and accuracy, and fine-tuning prompts and workflows accordingly, Developing and integrating tools (e.g., topology lookups, telemetry APIs) and verifying their correct use by LLM agents, Building data transformation and enrichment pipelines for syslog and telemetry preparation, Proposing and iterating on workflow steps and feedback loops to continuously improve accuracy, Implementing data chunking strategies to accommodate LLM context limitations, Writing automated tests to cover prompts, tool integration, and edge-case behavior, Consulting with network domain experts to review and refine LLM-based RCA results] Requirements : Python, Linux, REST API, CI / CD, Git, Data analytics, Networks, Network protocols, Microservices, LLM, Docker, Kubernetes Tools : Agile, Scrum, Kanban. Additionally : Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects, Masterclazz training, Free coffee, Bike parking, Playroom, Free beverages, Free lunch, In-house trainings, Modern office, No dress code.