AI Field Engineer: Integrations & Security

QuilrAI; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

QuilrAI is seeking an AI Field Developer to work with customer engineering, platform, and security teams to implement and tailor Quilr’s AI security solutions. You will write production‑quality code, build integrations for enterprise AI applications and infrastructure, troubleshoot deployment challenges, and translate real‑world customer requirements into working technical solutions.

This role is ideal for a practical engineer who enjoys solving ambiguous problems, moving quickly, and

Qualifications

• 1–4 years of software engineering, backend development, AI engineering, or related field.
• Strong hands-on Python programming and familiarity with REST APIs, JSON, authentication, and standard software practices.
• Experience building or integrating applications that use LLMs, AI agents, or modern AI development frameworks.
• Familiarity with Git, Linux, debugging, testing, and basic CI/CD workflows.
• Understanding deployment concepts including Docker, cloud environments, environment configuration, and logging.
• Ability to troubleshoot unfamiliar systems and work independently in ambiguous environments.
• Strong communication skills and willingness to collaborate with enterprise customers.

Responsibilities

• Develop and maintain Python-based integrations, APIs, SDKs, adapters, and connectors for enterprise AI applications and infrastructure.
• Integrate Quilr’s security capabilities into LLM-powered applications, AI agents, orchestration frameworks, and MCP-based workflows.
• Build proof-of-concept implementations and translate prototypes into reliable, maintainable solutions.
• Deploy and customize Quilr within customer environments, including cloud infrastructure and containerized workloads.
• Configure integrations with customer identity systems, logging platforms, API gateways, and security tools; support on-premises, private-cloud, and hybrid deployments.

Skills

Python

REST APIs

CI/CD

Git

Linux

Debugging

Cloud deployments

Tools

Docker

Job description

QuilrAI is seeking an AI Field Developer to work with customer engineering, platform, and security teams to implement and tailor Quilr’s AI security solutions. You will write production‑quality code, build integrations for enterprise AI applications and infrastructure, troubleshoot deployment challenges, and translate real‑world customer requirements into working technical solutions.

This role is ideal for a practical engineer who enjoys solving ambiguous problems, moving quickly, and