Alliant Insurance Services
Alliant Insurance Services
„Alliant Insurance Services“ yra nacionalinė draudimo tarpininkavimo ir rizikos valdymo įmonė, teikianti komercinėms organizacijoms turto ir civilinės atsakomybės draudimo, darbuotojų naudų konsultavimo, perdraudimo, žalų administravimo pagalbos, pasirengimo nelaimėms ir atkūrimo, kaptivinio draudimo bei specializuotus rizikos sprendimus. Įmonės kompetencija apima žemės ūkio verslą, aviaciją, statybą, kibernetinį saugumą, energetiką, sveikatos priežiūrą, nekilnojamąjį turtą ir svetingumo sektorių bei transportą. Be tradicinio draudimo tarpininkavimo, „Alliant“ teikia darbuotojų naudų konsultavimo ir žmogiškojo kapitalo paslaugas, veikdama kaip įvairiapusė patarėja organizacijoms, valdančioms sudėtingus draudimo ir darbuotojų poreikius.

Divisional AI Engineer III

Lead the architecture and reliability of shared LLM infrastructure, while driving adoption across products. Build reusable orchestration, observability, and production services.

Aprašymas

  • Own the architecture, implementation, and operational health of a platform area such as agent lifecycle and state, sandbox context exchange, model orchestration, or tracing and evaluation.
  • Design services and interfaces for long-running tasks that remain durable and recoverable across deployments, restarts, and retries, and support inspection and replay.
  • Create reusable approaches to packaging and retrieving context across execution environments, with clear boundaries for access, retention, and data movement.
  • Build and improve model routing and orchestration, and define and use measures of quality, latency, reliability, and cost per task.
  • Lead technical discovery with product teams and prioritize platform work that cuts duplicated engineering and unplanned interruptions.
  • Set testing, tracing, evaluation, and operational readiness practices for the domain; review production signals and lead complex incident resolution.
  • Write architecture documentation and migration guidance to help engineers adopt platform capabilities.
  • Mentor engineers, review designs and code, and contribute to technical planning across the AI engineering group.
  • Follow company policies and applicable federal, state, and local laws.
  • Carry out other duties as assigned.

Reikalavimai

  • Bachelor’s degree in computer science, software engineering, or a related technical field, or an equivalent combination of education and work experience.
  • At least five years of software engineering experience or equivalent practical experience, including responsibility for production services.
  • Experience building LLM-powered applications or AI infrastructure.
  • Advanced proficiency in TypeScript and/or Python, with experience designing production services and APIs.
  • Knowledge of distributed systems, asynchronous job processing, persistence, observability, cloud deployment, and secure system design.
  • Experience shipping and supporting LLM features, including practical tradeoffs among model behavior, latency, and cost.
  • Ability to lead technical work from an ambiguous problem through design, implementation, rollout, and operational improvement.
  • Ability to create reusable, understandable platform interfaces for teams with different product needs.
  • Ability to influence technical decisions, communicate risks and tradeoffs, and mentor engineers at different experience levels.

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