Frontier AI Deployment Engineer

Accellor

Mountain View (CA)

On-site

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

Accellor is seeking a Forward Deployment Engineer to work with strategic customers and deploy frontier AI models into production environments. You will perform hands-on software engineering, AI app development, and solution design in ambiguous settings to deliver measurable business impact.

The role combines customer collaboration, rapid delivery, and production deployment with a focus on reliability, security, and value realization for enterprise customers.

Qualifications

  • Strong experience in software engineering and applied AI engineering.
  • Hands-on programming with Python and at least one other language.
  • Experience building production software systems, APIs, and data pipelines.
  • Proficiency in LLM patterns and model orchestration.
  • Ability to work with customer teams in ambiguous environments.
  • Excellent communication and ownership mindset.

Responsibilities

  • Work directly with customer teams to understand workflows and AI opportunities.
  • Translate problems into technical plans with milestones.
  • Design AI-powered systems integrating data, tools, and APIs.
  • Build prototypes and production integrations with customer platforms.
  • Own production deployment, testing, and observability.
  • Drive adoption and measure impact in production.

Skills

Software engineering
Python
TypeScript
JavaScript
Go
Java
C++
Rust
LLM patterns
System design
Communication skills
Ownership
OpenAI API
AI deployment
Vector databases
Observability
Workflow automation

Education

Tools

Docker
Kubernetes
CI/CD

Job description

Accellor is seeking a Forward Deployment Engineer to work with strategic customers and deploy frontier AI models into production environments. You will perform hands-on software engineering, AI app development, and solution design in ambiguous settings to deliver measurable business impact.

The role combines customer collaboration, rapid delivery, and production deployment with a focus on reliability, security, and value realization for enterprise customers.

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