AI Engineering (Fullstack)

AI Engineer (Full-Stack) - Application

Shippit is hiring! This form helps us understand your experience with AI, full-stack development, and how you approach building intelligent applications. Please answer thoughtfully - we read every response.

Full name

Email

LinkedIn Profile URL

GitHub / Porfolio URL

Location (City, Country)

Years of FullStack/AI Development Experience

2 years

2-3 years

3-5 years

5+ years

Describe an AI-powered feature you built from concept to production. Walk us through the full stack: frontend UX decisions, backend architecture, AI/LLM integration, and how you handled observability and debugging in production.

Imagine you're building a real-time collaborative assistant that needs to maintain context across multiple user sessions, understand relationships between entities (people, projects, documents), and provide intelligent suggestions. How would you architect this using a real-time backend, a knowledge graph, and LLM capabilities? What trade-offs would you consider?

You need to build an agent system that can: (1) break down complex user requests into subtasks, (2) execute actions across multiple APIs, (3) pause for human approval on sensitive operations, and (4) learn from feedback to improve over time. Describe your architecture, the frameworks you'd consider, and how you'd implement tracing/observability.

Tell us about a time you had to ship something quickly with incomplete requirements. How did you decide what to build first? How did you balance speed with quality? What did you learn from the iteration process?

What AI or blockchain development has caught your attention in the last 3 months? Have you built anything with it or experimented with it? How do you stay current with the rapidly evolving landscape?

Describe a technical problem you identified and fixed without being asked. How did you discover it? What was the impact? How did you communicate the change to your team in an async environment?

Have you worked with any of these technologies? (Select all that apply)

Convex or similar real-time serverless databases

Langfuse or LLM observability tools

Zep or knowledge graph systems

Neo4j or other graph databases

Agent frameworks (Mastra, LangChain, CrewAI, etc.)

Blockchain/Web3 technologies

GCP (Cloud Run, Cloud Functions)

None of the above

If you selected any tools above, briefly describe your experience with them

Have you worked with smart contracts or Web3 technologies? Describe any DApp or blockchain integration you've built, even if experimental.

How do you handle disagreements about technical decisions in a remote, async team? Give a specific example.

When can you start?

Immediately

2 weeks notice

1 month notice