Frequently Asked Questions:
What does a Full-Stack AI Developer do?
A Full-Stack AI Developer ships LLM-powered applications end-to-end: prompt design, retrieval and embeddings, model orchestration, the API layer, and the UI. They live across Python and TypeScript, integrate vector databases, and own the latency and cost of the final product.
How much does it cost to hire a Full-Stack AI Developer?
U.S. salaries for this role have climbed sharply in recent years. Full-Stack AI Developers in the U.S. command an average U.S. salary of $14,000 per month compared with an average Latin American salary of $6,000 per month, creating potential savings of up to 57%. The LatAm talent pool is deep across countries like Argentina, Brazil, Colombia, and Mexico, and most candidates South places have direct experience supporting U.S. companies.
Can a U.S.-based company hire a remote Full-Stack AI Developer from Latin America?
Yes, and most U.S. teams already do. South contracts the Full-Stack AI Developer locally, handles compliance and payroll, and bills you monthly. The hire joins your tools, standups, and Slack like a domestic teammate. Time-zone alignment is the unlock: same-day collaboration without the async lag of EMEA or APAC.
What skills should I look for when hiring a Full-Stack AI Developer?
Strong full-stack engineering plus real LLM application experience: RAG, function calling, evals, and the cost/latency tradeoffs that come with shipping. You want engineers who have shipped a production AI feature and watched it survive real users, not just notebook demos.
What tools and software should a Full-Stack AI Developer know?
The standard stack varies by team, but expect fluency with: Python, TypeScript, Next.js, OpenAI API, Anthropic API, LangChain, Pinecone, Postgres, AWS, Vercel. Beyond tools, look for judgment about when to reach for which tool, and the discipline to document choices for the next person on the project.
How is a Full-Stack AI Developer different from a AI Engineer?
An AI Engineer typically goes deeper on model and infrastructure work. A Full-Stack AI Developer goes broader, owning the full product including the UI. For an early-stage AI product, the full-stack version usually wins.
How can South help me hire a Full-Stack AI Developer?
South sources LatAm full-stack AI developers shipping production LLM apps for U.S. companies. You see a shortlist in seven to ten days and onboard inside three weeks. Schedule a free call here to get started!
Interview Questions:
- Walk me through the last LLM app you shipped to production. What was the architecture?
- How do you handle hallucinations in a customer-facing chatbot?
- Describe how you set up evals and regression tests for prompts.
- How do you decide between RAG, fine-tuning, and a longer context window?
- Walk me through your latency and cost optimization process.
- How do you handle prompt injection and PII in user inputs?
- Describe a vector database setup you have shipped (Pinecone, pgvector, Weaviate).
- How do you stream tokens to a Next.js front-end without blocking?
- Walk me through a model swap you did (e.g., GPT-4 to Claude). What broke?
- When would you push back on a 'put AI on it' product request?
Related Roles:
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