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Software Engineer, Sandbox & Agent Executor

Retool

Job Location:

San Francisco, CA - USA

Yearly Salary: USD 163800 - 306000

Posted: 20 September 2026 (12 hours ago)

Application Deadline: 18 December 2026

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

ABOUT RETOOL

Nearly every company in the world runs on custom software for critical operations like tracking performance metrics handling support workflows building admin dashboards and countless processes you might never have thought of. But most companies dont have the resources to properly invest in these tools leading to a lot of old clunky internal software or worse teams still stuck in manual and spreadsheet workflows.

AI has changed who gets to build software. The definition of developer now includes analysts operators and domain experts creating solutions directlyand the tools they reach for are multiplying by the week. Thats both an opportunity and a challenge: as more people build with more AI tools the risk of shipping ungoverned software into production grows just as fast.

At Retool were 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. The cost of building software has collapsed. The cost of governing it hasntand thats the problem we solve.

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. The people closest to the problem can now build the software to solve it safely and within enterprise guardrails.

Lets build the future together.

Why were looking for you

We build products where agents write and run code and where the environment that code runs in is ours to own. As agents get more capable users go from prompt to working app in minutes instead of hours and increasingly they expect agents that dont just generate the app but run the work inside it.

Were looking for engineers who have shipped agentic products into production and kept them running reliably affordably and at scale and who want to bring that experience to developer-facing surfaces used every day by real engineering teams.

What youll do

As an AI Engineer youll build the agent platform behind Retools AI products and own model-driven behavior in production. You will work across the product infrastructure and evaluation layers. Your work shapes what users experience and how confidently the team can ship. You might:

Own the behavior of agentic features across multiple product surfaces including quality safety variance and failure modes and shape the tool and harness surface agents operate against including MCP servers sub-agents and skills
Work across the product and infrastructure boundary shaping agent behavior while understanding what it costs at runtime and serve as the infrastructure teams technical counterpart on agent workloads
Design and evolve prompting context construction retrieval routing and tool-use strategies for long-horizon workflows and build the evaluation systems that measure them through statistical signals distributions and trends rather than pass/fail tests
Detect diagnose and resolve non-deterministic failures such as hallucinations partial correctness instruction drift or context sensitivity working from transcripts and traces rather than logs alone
Partner closely with product and infrastructure teams on how agent workloads are provisioned isolated and rolled out including for self-hosted customers and set the pattern for how we ship agentic products safely

Youll work across the stack (TypeScript React) but your leverage wont come from code volume alone. It will come from shaping runtime behavior with precision measurement and intent.

What this role is and is not

It is

Accountable for agent behavior not just system correctness
Designing Building and Deploying agentic products in both cloud and self-hosted environments
Grounded in evaluation iteration and regression prevention under non-determinism
Comfortable designing systems where outputs vary confidence is probabilistic and correctness is contextual

It is not

Adding LLM calls to existing features and moving on
Shipping AI features without owning their long-term reliability drift or user trust
An SRE role though youll own the agent-side bugs that surface as infrastructure incidents
Model training or research though youll shape model behavior selection and tool design

THE SKILLSET YOULL BRING

6 years of professional engineering experience with ownership over complex systems in production
Production experience with agentic systems including context engineering tool use and evaluation frameworks at real user scale rather than in pilots or demos
Hands-on experience with sandboxing technology and running agents inside sandboxed environments
Experience in Kubernetes or equivalent in practice (EKS ECS or similar) owning services end to end
Strong systems thinking with the instinct to use AI as an augment to engineering judgment rather than a replacement for it
Curiosity in why a model produced what it did and the habit of checking rather than assuming
Experience mentoring engineers on this kind of work including when to lean on a model and when not to

BONUS POINTS

Experience building for developer surfaces like CLIs IDE extensions or coding harnesses
Experience shipping into enterprise or air-gapped environments where you debug systems you cant directly observe

WHO YOULL WORK WITH

Youll join a small senior team focused on advancing AI capabilities across the product. Youll 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 even when certainty is never guaranteed youll thrive here.

READY TO BUILD RELIABLE AI SYSTEMS

If youre excited to move beyond demos and take real ownership of nondeterministic behavior in production defining quality preventing regressions and turning variability into a strength wed love to meet you.

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.

Required Experience:

Unclear Seniority

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