Software Engineer, Agent Platform

About the Position

We are looking for a Software Engineer, Agent Platform to join our Engineering team in New York, United States. This role is pivotal in building reliable AI systems and governing AI behavior in production.

Responsibilities

As an AI Engineer, you will:

• Own model-driven behavior in production systems, working across product, infrastructure, and evaluation layers.
• Design and evolve prompting, retrieval, routing, and tool-use strategies that embrace non-determinism while bounding its downside.
• Build and maintain evaluation systems that measure model performance using statistical signals, distributions, and trends.
• Detect, diagnose, and resolve non-deterministic failures such as hallucinations, partial correctness, instruction drift, or sensitivity to context changes.
• Define and implement guardrails, fallbacks, and degradation paths that keep systems useful even when models behave unexpectedly.
• Partner with product and infra teams to decide when probabilistic behavior is “good enough” to ship-and when it isn’t.
• Influence model selection, model behavior, and tool design to balance quality, cost, latency, and robustness for real user workflows.

Requirements

• 6+ years of professional engineering experience, with ownership over complex systems in production.
• Demonstrated experience owning AI/LLM behavior beyond basic integration, including mitigation of variance and failure modes.
• Comfort reasoning about probabilistic systems and tradeoffs (quality vs. cost, recall vs. precision, speed vs. robustness).
• Experience designing or maintaining evaluation frameworks, golden datasets, regression detection, or human-in-the-loop feedback loops.
• Strong product intuition-you care deeply about what “good” looks like even when outputs are non-deterministic.
• Ability to operate independently in ambiguous problem spaces and set quality standards others rely on.
• Strong opinions, weakly held-you iterate quickly and adjust based on evidence and observed runtime behavior.

Nice to Have

• Experience with RAG, agentic systems, or tool-using models in production.
• 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.
• History of mentoring engineers on designing for non-determinism and evaluation-driven development.

We Offer

• Base salary range: $163,800 – $306,000 per year.
• Comprehensive benefit plan, including medical, dental, vision, and 401(k).
• Generous benefits and hybrid work location.
• Opportunity to work in a dynamic, fast-growing company.

About the Company

At Retool, we're building the platform that makes all of it safe to ship. Build with any AI tool you want, then deploy into one place that connects to your real business data, enforces enterprise policies automatically, and lets teams create once and reuse everywhere with shared, trusted components. Developers and domain experts have already automated over 100 million hours of work on our platform, freeing them to focus on creative problem-solving and strategic work that drives real business value.

Let's build the future together.