[Hiring] Staff Software Engineer @QuickBase

Role Description

We are building a new product at Quickbase that helps users in operations-heavy industries get their work done, with agents that do that work alongside them. The product runs on the agentic foundation built for Pave, our AI app builder, and what we are building on top of it is its own distinct product. As a Staff Software Engineer on the AI Applied Engineering team, you will work across the whole loop — shaping the idea, building the agents, shipping them to users, evaluating how they hold up with real work, and coming back to make them better.

Job Duties and Responsibilities

• Build and ship fullstack features end to end, from design through production.
• Extend the Claude Agent SDK integration including MCP tool design, streaming (SSE) chat, context compaction, and tool-permission gating.
• Design and implement LLM-based features — RAG, agents, tool use — that power agents generating code, configuring workflows, and importing data.
• Build reliable AI pipelines with a focus on latency, cost, and failure modes.
• Define and implement evaluation strategies for AI outputs: offline (curated test sets, regression checks before shipping) and online (live production metrics including accuracy, override and escalation rates, latency, and cost).
• Own prompt and context engineering strategy and drive model and approach iteration.
• Design guardrails, tool-permission gating, and fallback mechanisms for non-deterministic outputs.

Qualifications

• Strong React and TypeScript experience with a track record of shipping production features.
• Comfortable working across frontend and backend.
• Hands-on experience with LLM applications including RAG, agents, and tool use, ideally with the Claude API, Agent SDK, or MCP tool servers specifically.
• Practical experience using LLMs in real production systems including streaming responses and prompt and context engineering.
• Demonstrated ability to move a feature from prototype to production including monitoring, cost control, and failure handling.
• Ability to reason about system design, not just models or prompts.
• A pragmatic engineering mindset — knows when not to use AI.
• Comfort working in a fast-moving, early-stage product environment.
• Strong architectural instincts with the ability to consider system and product impact when making decisions.

Preferred Qualifications

• Experience with AI coding assistants such as Copilot, Cursor, Claude Code, or similar.
• Exposure to AWS-based backends including DynamoDB, Lambda, and ECS.
• Experience with search, recommendation systems, or other data-heavy systems.
• Experience with observability and monitoring of production systems.
• Familiarity with evaluating AI and ML features in production including offline eval sets, online metrics, and A/B testing.
• Exposure to durable or stateful execution engines such as Temporal or AWS Step Functions.
• Experience with vector databases.
• Production ML or MLOps experience.

Benefits

• Unlimited remote work policy
• 25 days of annual leave, 2 additional days off for volunteering
• Competitive remuneration package incl. an annual bonus
• Top-notch IT setup.
• Mental health support, life insurance, food vouchers
• Additional health insurance - for you and your loved ones
• Annual wellness support allowance
• External Professional Learning Opportunities

Equal Opportunity Statement

Quickbase is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed. We are proud to be an equal opportunity employer.