Deployed AI Engineer, Retool
$216.7-293.3k
Low-code internal tools building software
Be an early applicant
Low-code internal tools building software
201-500 employees
Be an early applicant
$216.7-293.3k
201-500 employees
Company mission
Retool's mission is to create the future of internal software by making software development for engineers simpler and more accessible.
Role
Who you are
- Strong software engineering background—comfortable writing production-quality code across the stack
- Experience with AI/ML systems, particularly LLM-based apps and architectures
- Deep curiosity about real-world problems and how to solve them with software
- Familiarity with one or more of the following:
- Prompt engineering
- LangChain / agent orchestration
- Retrieval-augmented generation
- Vector databases (e.g. Pinecone, Weaviate, Chroma)
- Toolformer, ReAct, or other reasoning patterns
- LLM evaluation techniques (e.g. human + model evals)
- Excellent communication skills—you’ll be working directly with technical and non-technical stakeholders across organizations
- Thrives in ambiguity and iteration; excited to invent new workflows and best practices where none yet exist
- 5+ years experience in software engineering, ML engineering, or similar roles
- Demonstrated success in customer-facing or cross-functional technical roles
- Prior experience shipping LLM-based products or building AI apps is a strong plus
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related field
- Bonus: Experience working with Retool (apps, workflows, resources, components)
What the job involves
- We’re hiring our first Deployed AI Engineer to help our most strategic customers scope, build, and ship production-grade agents on top of Retool
- You’ll act as a founding member of a small team at the edge of what’s possible with Retool’s AI platform, working directly with customers, Field Engineering, and our product and infra teams to bring powerful agents to life
- The Deployed AI team’s goal is twofold:
- Build ambitious, high-quality agents with our most forward-leaning customers
- Feed those learnings back into our product, platform, and agent tooling to raise the ceiling (and the floor) of what our customers can build on their own
- You’ll work closely with Field Engineering and Product to go from high-level customer goals to scoped agent architectures, implemented solutions, and live deployments
- Along the way, you’ll uncover friction in our platform, identify common agent patterns, and contribute reusable abstractions (evaluators, tool integrations, routing logic, etc.) that make future agent development faster and better
- You’ll also act as a trusted advisor to our customers, combining deep technical expertise with product intuition and business understanding. AI agents are not deterministic systems—they are probabilistic workflows with real-world consequences
- Part of your role is helping customers deploy them responsibly, reliably, and with a clear understanding of the tradeoffs involved
- This role is hybrid: part software engineering, part product thinking, part solution design. It’s also high leverage. The things you build and learn will directly shape the future of AI at Retool—both in the product and in the market
- Design and implement AI agents using Retool’s platform, working directly with strategic customers and our Field Engineering team
- Prototype and productionize integrations across APIs, data sources, and tools (e.g. Snowflake, Salesforce, Postgres, vector DBs, internal APIs)
- Tune and evaluate agent performance, balancing accuracy, determinism, latency, and user experience
- Deploy and maintain agents in production, with appropriate monitoring, guardrails, and fallback mechanisms
- Develop reusable building blocks for agent development—libraries, prompts, evaluators, workflows, etc.—that accelerate both internal and customer use cases
- Capture patterns and pain points to inform product development, and work closely with the Agents team to influence roadmap and features
- Partner with GTM and customers to scope and validate high-impact agent opportunities
- Evangelize best practices in AI engineering, helping customers (and Retool teammates) navigate the fast-moving world of LLMs, evals, and orchestration
- Reporting to the Head of Product for Agents
- Working closely with Field Engineering, Product, and Infrastructure teams
- Frequently interfacing with customers—both hands-on and in advisory roles
- Serving as a feedback loop for the core product, with a front-row view of what customers need and what AI makes possible
- METRICS FOR SUCESS:
- Successful launch and adoption of Retool agents at key strategic customers
- Agent usage, reliability, and performance in production
- Development of reusable agent patterns and solutions
- Influence on Retool’s agent roadmap and product direction
- Decreased time-to-value for customers deploying AI agents
- Quality and completeness of enablement materials (reference agents, templates, docs, etc.)
Our take
Retool allows developers to build internal applications quickly using a complete set of ready-made building blocks. These internal applications can be used to display company data from a range of sources, including Redis, Salesforce, Google Cloud, and Slack.
For a monthly fee, the platform enables companies to save time that they would have otherwise spent on developing their own internal applications. Retool brands itself as 'low-code,' meaning that it is easy to use and customize. There is a huge demand for systems that allow teams to analyze the data they already have. Retool already counts brands such as Amazon, Philips, Peloton, NBC, and Mercedes-Benz as customers.
Retool was founded in 2017, and the company is now valued at over $1 billion. Founded by Oxford graduate David Hsu, the management team includes ex-Stripe and ex-Airbnb employees with plenty of experience in taking a company from a start-up to a global brand. Retool was awarded $45 million in Series C in 2022, which it is using to expand its workforce, tweak its platform, and develop new products.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2022
$45m
SERIES C
Dec 2021
$20m
SERIES C
Total funding: $165.2m
Company benefits
- Competitive healthcare, dental and vision benefits
- Breakfast, lunch and dinner at our San Francisco and New York offices
- $1,200 annual stipend for anything learning-related (books, conferences, classes, etc.)
- $1,000 work-from-home-setup stipend
- Flexible PTO
- Family planning support and paid parental leave
- 401(k) Matching
- Mental health and wellness benefits
Company HQ
Civic Center, San Francisco, CA
Leadership
David Hsu
(CEO)David studied Philosophy and Computer Science at the University of Oxford, before founding Retool in 2017. He has served as CEO ever since.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 23 more jobs at Retool