Senior Software Engineer – Agent Systems

The team and opportunity

Responsibilities

• Build AI-powered agents that automate internal workflows and decision paths.
• Design inference pipelines reasoning over user interactions across internal systems.
• Prototype and validate agent behaviors, then productionize useful approaches.
• Architect backend services integrating internal APIs and data sources.
• Define safe, observable, controllable agent-execution patterns.
• Identify automation opportunities with cross-functional partners.
• Improve speed, reliability, and signal quality as usage scales.
• Contribute foundational design decisions for a 0→1 agent platform.

Required qualifications

• At least 5 years building and shipping production software systems.
• Strong backend fundamentals in APIs, distributed systems, data modeling, and reliability.
• Experience building full-stack systems, including backend and occasional frontend work.
• Production hands-on experience with AI/ML systems, LLMs, or inference pipelines.
• Ability to prototype rapidly while preserving a path to production-grade architecture.
• Systems thinking across orchestration, failure modes, and observability; comfort in ambiguous 0→1 environments with high ownership.

Nice to have

• Experience with agent-based systems or autonomous workflows.
• Familiarity with prompt engineering, evaluation frameworks, or model performance tuning.
• Experience integrating enterprise systems such as CRM, support tools, or analytics platforms.
• Background in developer platforms or internal tooling.
• Experience designing AI guardrails, sandboxing, or safety layers.