AI Engineer II

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

📋 Description

• Design, test, and sustain components, services, connectors, and internal tools for the AI platform.

• Execute 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, issue resolution, and potential on-call incident response.

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

• Develop agent behaviors, tool calls, structured workflows, and integration logic for AI-assisted software development lifecycle (SDLC) use cases.

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

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

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

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

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

• Verify compliance with sensitive-data handling and established guardrails.

• Address security, compliance, and audit findings.

• Partner with software engineering teams to discover enhancements for AI-enabled workflows.

• Develop examples, templates, and best practices to expedite adoption.

• Provide support for onboarding, technical guidance, and issue resolution for engineering users.

• Contribute to team standards, documentation, and communities of practice.

⛳️ Requirements

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

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

• Proficient programming abilities, ideally in Python and one or more modern application development languages.

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

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

• Strong engineering judgment.

• Excellent collaboration skills.

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

• Applicants must be authorized to work in the United States without the requirement for sponsorship now or in the future.

🏝️ Benefits

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

• Comprehensive benefits package.

• Rewarding and challenging career opportunities.