LogoFresh Jobs Ahead
Alliant Insurance Services
Alliant Insurance Services
B2BConsultingInsurance
Alliant Insurance Services is a national insurance brokerage and risk-management firm serving commercial organizations with property and casualty coverage, employee benefits consulting, reinsurance, claims assistance, disaster preparedness and recovery, captive insurance, and specialized risk solutions. Its expertise spans sectors including agribusiness, aviation, construction, cyber, energy, healthcare, real estate and hospitality, and transportation. In addition to traditional brokerage, Alliant provides benefits consulting and human capital services, acting as a broad-based advisor for organizations managing complex insurance and workforce needs.
LinkedIn
Company Jobs

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.

USUnited StatesRemoteFull-timeMiddleSeniorEnglish RequiredAI EngineerMachine Learning Engineer
CloudDistributed SystemsPythonTypeScript

Description

  • 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.

Requirements

  • 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.

Related Jobs

PAR Technology

MLOps Engineer, Identity Resolution

PAR Technology
1,001 – 5,000 Employees
ConsultingFood & BeverageLogistics
USUnited StatesCOColoradoFLFloridaILIllinoisMNMinnesotaNYNew YorkNCNorth CarolinaPAPennsylvaniaTXTexas
$125,000 – $160,000 / year
RemoteFull-timeJuniorMiddleEnglish RequiredMachine Learning Engineer
AirflowAmazon RedshiftAWSGraphQLPandasPySparkPythonScikit-LearnSpark

Bring Bridg’s identity-resolution models into production for PAR Technology’s restaurant software platform. Build AWS and Spark pipelines, CI/CD, monitoring, and agent-queryable data interfaces.

Open