Radiant
Radiant
51 – 200 Darbuotojai
B2BDirbtinis intelektasĮmonė
Radiant yra dirbtinio intelekto infrastruktūros tiekėja, aptarnaujanti įmones ir kitas organizacijas, vykdančias didelės apimties dirbtinio intelekto darbo krūvius. Jos „FlightDeck“ platforma užtikrina stebimumą ir operacijų valdymą, o infrastruktūros sprendimų portfelį sudaro „bare-metal“ ir virtualiųjų mašinų skaičiavimo ištekliai, GPU, valdomas „Kubernetes“, „Slurm“, duomenų saugyklos, tinklai ir duomenų centrų pajėgumai. Radiant taip pat kuria suverenias ir hiperskalės sprendimų platformas komandoms, kurioms reikalingos saugios, valdomos ir keičiamo masto dirbtinio intelekto aplinkos. Įmonė samdo darbuotojus infrastruktūros, dirbtinio intelekto ir įmonių technologijų srityse.

Principal Backend Software Engineer, AI Infrastructure

Lead backend architecture for Radiant’s GPU orchestration, inference-serving systems, and AI Cloud APIs. Set technical standards and mentor engineers across squads.

Aprašymas

  • Build core services for Radiant AI Cloud.
  • Design Go backend services for AI infrastructure, networking, inference orchestration, and model lifecycle management.
  • Lead engineering design, architecture reviews, and plans for evolving systems.
  • Work with platform and infrastructure teams to deliver reliable, secure production services.
  • Set technical standards and improve code quality, observability, and maintainability across teams.
  • Find and address architectural bottlenecks, performance problems, and scaling challenges.
  • Coordinate strategy and technical leadership with principal engineers.
  • Work with infrastructure and machine learning colleagues to deliver high-performance AI systems.
  • Mentor engineers across multiple squads without direct reports.
  • Guide engineering direction, design decisions, and collaboration across teams.

Reikalavimai

  • Demonstrated expertise in Go and cloud-native backend development.
  • Extensive experience designing and deploying production distributed systems and APIs, including gRPC and REST.
  • Strong understanding of Kubernetes internals, including primitives, deployments, and reconciliation loops.
  • Experience with PostgreSQL or a comparable high-performance data store.
  • Experience with CI/CD, observability, security, and automation practices.
  • Ability to provide technical leadership, mentor colleagues, shape architecture, and influence across teams.
  • Experience with AI/ML infrastructure tools such as vLLM, KServe, Ray, or Triton is preferred.
  • Familiarity with Python, particularly ML libraries and model interfaces, is preferred.
  • Familiarity with GPU scheduling, inference pipelines, or orchestration of resource-constrained workloads is preferred.
  • Exposure to GPU orchestration frameworks or services for model training or inference.
  • Understanding of multi-tenant systems, isolation approaches, and secure infrastructure for AI workloads.
  • Authorized to work in the role’s country without sponsorship.

Privalumai

  • 25 days of annual leave.
  • Private medical insurance through Bupa.
  • Cycle to Work Scheme.
  • Gympass membership, with access to gyms and wellbeing apps.
  • Participation in the company share programme.
  • Enhanced parental pay and leave.
  • Dedicated time to learn skills, work on projects, or explore interests.
  • Open communication, regular feedback, and a culture focused on results over hierarchy, process, and ego.

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