Software Engineer II (AI Agent Platform)

Quick Facts

• Role: Software Engineer II (AI Agent Platform)
• Focus: Platform engineering for LLM-powered AI agents (SDK, orchestration, retrieval/grounding, evaluation, and operability)

Description

Contribute to an AI Agent Platform by building core building blocks—SDK features, orchestration patterns, reusable components, and quality tooling—that help teams deliver conversational, voice, and document-extraction agent experiences. Work on reliable production systems for large-language-model-powered agents at scale, improving performance, developer experience, and operational stability through disciplined evaluation and iteration.

Responsibilities

• Build core SDK features and reusable components for consistent and safe AI agent composition and operation.
• Implement orchestration and tool/function-calling patterns to improve reliability and traceability.
• Develop retrieval and grounding capabilities connected to approved data sources.
• Create evaluation datasets, benchmarks, and quality metrics for capability accuracy.
• Add testing, observability, and monitoring (tracing, logs, latency, cost) for operability and incident readiness.
• Translate requirements into secure, scalable, production-ready solutions with cross-functional stakeholders.
• Contribute documentation, examples, and reference implementations to accelerate adoption.
• Participate in code reviews and design discussions to raise engineering standards.

Requirements

• Formal training or certification on software engineering concepts plus 2+ years applied experience.
• 2+ years hands-on Python development delivering production software.
• Experience building and operating backend services/platform components with reliability, performance, and maintainability.
• Experience writing automated tests and using version control and code review practices.
• Experience integrating application components with data sources and building robust error-handling and observability.
• Ability to break down ambiguous problems, iterate quickly, and communicate trade-offs.
• Strong collaboration and communication skills focused on outcomes and continuous improvement.

Benefits

• Competitive total rewards package; base salary determined by role, experience, skills, and location.
• Possible commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity).
• Benefits may include comprehensive health care, wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more (eligibility-dependent).
• Equal opportunity employer; accommodations available for applicants/employees’ religious practices and mental health/physical disability needs.