Software Engineer, Agent Platform (AI)

Location: New York, United States; hybrid work location. hirify.global is set up to employ roles in the United States and specific roles in the United Kingdom.

Salary: $163,800–$306,000 per year base pay for candidates based in the United States; additional equity and/or commission may apply depending on the position offered.

Company

hirify.global builds a platform for safely deploying internal software connected to business data, with enterprise policies and reusable trusted components.

What you will do

• Own the quality, safety, variance, and failure modes of AI-powered features across multiple product surfaces.
• Design and evolve prompting, retrieval, routing, and tool-use strategies for non-deterministic systems.
• Build and maintain evaluation systems using statistical signals, distributions, trends, golden datasets, regression detection, and human-in-the-loop feedback.
• Detect and resolve hallucinations, partial correctness, instruction drift, and sensitivity to context changes.
• Define guardrails, fallbacks, and degradation paths, and help determine when probabilistic behavior is ready to ship.
• Influence model selection, model behavior, and tool design while collaborating with product, infrastructure, design, and product management teams.

Requirements

• 6+ years of professional engineering experience with ownership of complex production systems.
• Demonstrated experience owning AI/LLM behavior beyond basic integration, including variance and failure-mode mitigation.
• Ability to reason about probabilistic systems and tradeoffs including quality versus cost, recall versus precision, and speed versus robustness.
• Experience designing or maintaining evaluation frameworks, golden datasets, regression detection, or human-in-the-loop feedback loops.
• Strong product intuition and attention to defining quality for non-deterministic outputs.
• Ability to work independently in ambiguous problem spaces and establish quality standards.
• Working across the stack with TypeScript, Node, and React.

Nice to have

• Production experience with RAG, agentic systems, or tool-using models.
• Familiarity with vector databases, embeddings, or retrieval pipelines.
• Exposure to fine-tuning, model routing, or post-training techniques.
• Experience building shared AI infrastructure used by multiple teams.
• Experience mentoring engineers on non-deterministic system design and evaluation-driven development.

Culture & Benefits

• Work with a small, senior team advancing AI capabilities across the product.
• Collaborate with product engineers, infrastructure engineers, designers, and product managers.
• Medical, dental, and vision benefits.
• 401(k) plan.
• Additional equity and/or commission may apply depending on the position offered.