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Vacancy in : Senior software engineer (LLMs and Agentic Systems) Salary

About Us
We are at the forefront of a new era in cloud computing, building the tools and infrastructure that power the global AI economy. Our mission is to enable teams to solve real-world challenges and build transformative AI solutions—without massive infrastructure costs or the need for large in-house AI/ML teams. Our team consists of over 500 people globally, including 400+ engineers working across Europe, North America, and Israel.

The Role
We are an AI R&D team focused on cutting-edge research in large language models and agentic systems. Some of our recent work includes:

  • Test-time guided search to build smarter agents

  • Scalable task data collection for reinforcement learning in software engineering agents

  • Optimizing LLM training using agentic trajectory data

We’re looking for a Senior Software Engineer with a background in Machine Learning to help us build and scale the infrastructure powering this research.

Your responsibilities:

  • Design and implement research infrastructure: training/evaluation frameworks, data pipelines, orchestration systems

  • Optimize system performance: inference speed, orchestration of thousands of agent runs

  • Build web services to showcase and operationalize research

  • Own and maintain key parts of the system

What we’re looking for:

  • 5+ years in software development with ML project experience

  • Strong coding skills (we use mostly Python)

  • Familiarity with CI/CD, version control, testing best practices

  • Strong sense of ownership, attention to detail, and initiative

Nice to have:

  • Experience with LLMs, agentic systems, inference (e.g., vLLM), or ML libraries (e.g., PyTorch, JAX)

  • DevOps/cloud skills (Kubernetes, cloud platforms)

  • Familiarity with big data technologies (e.g., Spark, Hadoop, TractoAI, YTsaurus)

  • Systems design for large-scale ML infrastructure

  • Bonus: Go, C++, Rust experience

What we offer:

  • Competitive salary and full benefits

  • Clear career growth opportunities

  • Hybrid work environment

  • Dynamic, collaborative culture focused on innovation and ownership

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