AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and maintain reusable, secure, and scalable AI-assisted software delivery capabilities.

• Design, construct, test, and oversee AI platform components, services, connectors, and internal tools.

• Implement model routing, prompt execution patterns, API integrations, and reusable utilities.

• Enhance the reliability, performance, observability, and usability of AI engineering tools.

• Assist with production operations, troubleshooting, monitoring, incident triage, escalation, and remediation.

• Create reusable agents, skills, workflow components, and connectors for engineering teams.

• Implement agent behaviors, tool calls, structured workflows, and integration logic.

• Construct and maintain evaluation workflows, automated tests, regression checks, benchmarks, and validation approaches.

• Support versioning, release management, rollback readiness, and lifecycle management for AI components.

• Analyze model and agent behavior concerning quality, cost, latency, security, and reliability issues.

• Integrate logging, access control, data classification, and risk controls into AI workflows.

• Collaborate with security and governance partners to address responsible AI requirements.

• Partner with software engineering teams to pinpoint AI-enabled workflow enhancements.

• Create examples, templates, and golden-path patterns to facilitate adoption.

• Provide onboarding, technical guidance, issue resolution, documentation, and foster communities of practice.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Systems, or a related technical field, or equivalent work experience.

• Generally, 3–5 years of experience in software engineering, AI engineering, ML engineering, platform engineering, automation, or developer productivity roles.

• Strong programming abilities, preferably in Python and one or more contemporary application development languages.

• Experience in building APIs, services, integrations, automated tests, and cloud-based applications.

• Experience with LLM application patterns, prompt engineering, RAG, agent frameworks, LLMOps, evaluation techniques, or AI-assisted development tools is highly preferred.

• Sound engineering judgment.

• Excellent collaboration skills.

• Capability to deliver reliable technical solutions independently in a secure environment.

• Must be authorized to work in the United States without visa sponsorship currently or in the future.

🏝️ Benefits

• Eligibility for incentive awards based on individual and business performance.

• Competitive salary.

• Comprehensive range of benefits.

• Equal opportunity employment.

• Recruitment accommodation support.