Senior AI Frontend-Backend Engineer Remote LATAM

Darwoft; Buenos Aires; Remote; ARS 231,811,000 - 324,535,000; Full time

Job summary

Darwoft is seeking a Forward Deployed Engineer to design and build full‑stack AI applications. You will own the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works for enterprise clients.

This breadth‑and‑depth role requires deep specialization in at least one AI platform (Google, Anthropic, or OpenAI) and strong collaboration with clients and junior engineers.

Qualifications

• 3 to 5 years of software or data engineering experience with hands‑on AI tooling.
• Experience with React and at least one backend framework.
• Hands‑on with RAG, embeddings, and vector search; familiarity with agentic frameworks.

Responsibilities

• Develop user‑facing interfaces in TypeScript and React, with backend services in Python or Node.
• Implement agentic behavior including orchestration, tool/call handling, memory, and guardrails.
• Build retrieval‑augmented generation pipelines for ingestion, embeddings, and search.
• Connect AI systems to enterprise data via APIs and semantic layers.
• Write evaluation suites and regression tests for production AI features.
• Apply engineering practices: version control, code reviews, tests, CI/CD, observability.
• Deploy on cloud infrastructure (GCP, Azure, AWS) and maintain data pipelines.
• Use agentic tools (Claude Code, Gemini CLI, Codex, Cursor) with quality controls.
• Communicate progress and blockers to clients and project leads.
• Mentor junior engineers and contribute to internal accelerators and standards.

Skills

React

Frontend development

Python

Node.js

RAG pipelines

Embeddings

Vector search

English (C1/C2)

Education

Bachelor’s or Master’s in CS/Engineering

Tools

LangGraph

LangChain

Google ADK

Claude Agent SDK

OpenAI Agents SDK

Job description

Darwoft is seeking a Forward Deployed Engineer to design and build full‑stack AI applications. You will own the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works for enterprise clients.

This breadth‑and‑depth role requires deep specialization in at least one AI platform (Google, Anthropic, or OpenAI) and strong collaboration with clients and junior engineers.