Staff AI Engineer — Customer Delivery & Platform Architecture

Red Cell Partners, LLC.

Seattle, McLean (WA, VA)

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Health care
Unlimited PTO
401(k) and equity incentives
Professional development

Job summary

Red Cell Partners, LLC. is seeking a Staff Software Engineer to split time between core product development and delivering solutions to customers. You will work directly with customer teams, translate needs into technical plans, and shape platform capabilities while writing code and debugging in secure, regulated environments.

The role emphasizes architecture decisions, hands-on coding, and end-to-end ownership from prototype to production in a fast-paced, AI-driven setting.

Qualifications

  • 8+ years of software engineering experience and shipping production systems.
  • Ability to apply AI/ML techniques to real customer problems.
  • Experience designing scalable distributed systems and cloud infra.

Responsibilities

  • Lead architecture decisions and set technical direction across core product and customer deployments.
  • Build production-ready AI-enabled applications and integrations with customer environments.
  • Translate customer needs into concrete technical plans and product feedback for engineering.
  • Own delivery from prototype through production, including APIs, services, and observability.
  • Ensure secure, auditable, and reliable deployments in regulated environments.

Skills

Software engineering
AI/ML techniques
Distributed systems
Cloud infrastructure
Backend APIs

Tools

Kubernetes
Terraform
Docker
CI/CD

Job description

Red Cell Partners, LLC. is seeking a Staff Software Engineer to split time between core product development and delivering solutions to customers. You will work directly with customer teams, translate needs into technical plans, and shape platform capabilities while writing code and debugging in secure, regulated environments.

The role emphasizes architecture decisions, hands-on coding, and end-to-end ownership from prototype to production in a fast-paced, AI-driven setting.

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