Senior AI Platform & Runtime Engineer

HedgeServ Corporation

Dallas, Raleigh (TX, NC)

Ibrido

USD 150.000 - 210.000

Tempo pieno

7 giorni fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Remote/hybrid working arrangements
Fully paid comprehensive health and w​

Descrizione del lavoro

HedgeServ Corporation is seeking a Senior AI Platform and Runtime Engineer to build and operate HedgeServ’s shared AWS platform for AI applications and agents. You will own runtime infrastructure, identity, security, deployment, and reliability, delivering scalable capabilities and reusable standards for engineering teams.

Role requires 5+ years of software engineering and hands-on AWS experience, with production LLM or agent workloads.

Competenze

  • 5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.
  • Cloud, platform, site reliability, or software engineering experience with production systems.
  • Hands-on AWS experience preferred; other enterprise clouds valued.
  • Experience with infrastructure as code, containerized workloads, and automated delivery (Terraform, AWS CDK, Docker, ECS, EKS).
  • Experience building/operating production LLM, generative AI, or agent applications with model APIs, tool integration, or retrieval patterns.
  • Knowledge of observability, incident response, cost management, and enterprise security practices.

Mansioni

  • Design, build, and operate secure, scalable AI and agent platforms on AWS.
  • Own platform architecture across infrastructure, AI services, identity, networking, observability, and runtime operations.
  • Automate infrastructure and delivery using Terraform, AWS CDK, and CI/CD tooling.
  • Deploy and support production LLM and agent workloads using AWS services like Bedrock.
  • Build resilient distributed systems with asynchronous processing, retries, and recovery.
  • Ensure identity, access controls, encryption, and auditable data/tool access.

Conoscenze

AWS experience
Infrastructure as code
LLM/agent production
Terraform
CI/CD
Security best practices
Observability
Distributed systems design
Team collaboration

Strumenti

AWS CDK
Docker
ECS
EKS
Bedrock

Descrizione del lavoro

HedgeServ Corporation is seeking a Senior AI Platform and Runtime Engineer to build and operate HedgeServ’s shared AWS platform for AI applications and agents. You will own runtime infrastructure, identity, security, deployment, and reliability, delivering scalable capabilities and reusable standards for engineering teams.

Role requires 5+ years of software engineering and hands-on AWS experience, with production LLM or agent workloads.

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