Software Engineer, Agent Platform at Retool in New York, United States focuses on As an AI Engineer, you’ll own model-driven behavior in production systems, working across product, infrastructure, and evaluation layers. You’ll directly shape user experience and how confidently the team can ship.
Software Engineer, Agent Platform
Team
Engineering
Location
New York, United States
WHAT YOU’LL DO
As an AI Engineer, you’ll own model-driven behavior in production systems, working across product, infrastructure, and evaluation layers. Your work will directly shape what users experience—and how confidently the team can ship. You might:
- Own the behavior of AI-powered features across multiple product surfaces, including quality, safety, variance, and failure modes
- 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—not just pass/fail tests
- 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
You’ll work across the stack (e.g., TypeScript, Node.js, React), but your leverage won’t come from code volume alone—it will come from shaping runtime behavior with precision, measurement, and intent.
WHAT THIS ROLE IS (AND IS NOT)
This role is:
- Accountable for AI behavior, not just system correctness
- Grounded in evaluation, iteration, and regression prevention under non-determinism
- Comfortable designing systems where outputs vary, confidence is probabilistic, and correctness is contextual
- Focused on shipping dependable products on top of imperfect components
This role is not:
- Adding LLM calls to existing features and moving on
- Treating models as black boxes with undefined behavior
- Shipping AI features without owning their long-term reliability, drift, or user trust
THE SKILLSET YOU’LL BRING
- 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
BONUS POINTS
- 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
WHO YOU’LL WORK WITH
You’ll join a small, senior team focused on advancing AI capabilities across the product. You’ll collaborate closely with product engineers, infra engineers, designers, and PMs—often acting as the final owner of AI behavior and quality before features reach users.
Your work will set standards that others build on. If you enjoy being the person teams rely on when AI behavior matters most—and certainty is never guaranteed—you’ll thrive here.
The base pay range for this role is $163,800 – $306,000 per year.
Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!
Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.