Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxzig

The TeamThe AI Infrastructure team builds and operates the production systems that power intelligent agents at scale.
This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, the group owns the core primitives that enable agents to safely operate across internal systems.
The environment is high-scale and high-stakes—systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team.
Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.The OpportunityDesign and build the infrastructure layer powering AI agent systems in productionDevelop high-performance Rust services that handle model inference, orchestration, and executionArchitect scalable systems capable of supporting millions of users and high request throughputBuild reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoringDefine guardrails, observability, and failure handling for agent-driven workflowsOptimize latency, throughput, and cost across inference and orchestration layersPartner closely with the Agent Systems team to translate experimental prototypes into hardened production systemsContribute to foundational infrastructure decisions in a high-scale, high-impact environmentSkills You Should HODL5+ years of experience building and operating high-scale production systemsStrong proficiency in Rust and systems-level programmingDeep understanding of distributed systems, reliability engineering,



and performance optimizationExperience operating services serving millions of users or high-throughput workloadsFamiliarity with ML infrastructure, model serving, or MLOps in production environmentsExperience designing observability, monitoring, and failure recovery systemsStrong collaboration skills working across infrastructure and applied engineering teamsHigh ownership mindset in high-stakes production environmentNice to HavesExperience building infrastructure for agent-based or LLM-powered systemsBackground in high-performance networking, async systems, or low-latency architecturesExperience with container orchestration and cloud-native infrastructureFamiliarity with evaluation frameworks and model performance monitoring at scaleExperience working in fast-moving 0?1 or platform-building teamsEqual Opportunity EmployerKraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives.
We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job.
We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto!
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process.
These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions.
Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind.
Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxzig

📌 Senior Software Engineer – Ai Infrastructure (Mar del Plata)
🏢 kraken
📍 Mar del Plata