Remote Forward-Deployed AI Engineer (Full-Stack)

We Love AI Jobs; Buenos Aires; Remote; ARS 187,781,000 - 333,832,000; Full time

Job summary

We Love AI Jobs is seeking a Forward Deployed Engineer to design and build full-stack AI applications for enterprise clients. You’ll own the React front end and the Python/Node service, implement RAG pipelines, and ensure production-grade reliability.

Join a global data and AI consulting team, collaborate with clients, mentor juniors, and help shape reusable components and standards while working fully remotely with US business hours.

Qualifications

• 3 to 5 years of software or data engineering experience with extensive hands-on use of AI tools
• Experience with front-end development in React or similar frameworks, and at least one backend framework
• Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework such as LangGraph, LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK
• Deep specialization in at least one major AI platform ecosystem: Google (Gemini, Vertex AI), Anthropic (Claude, MCP), or OpenAI (Responses API, AgentKit)
• Working experience with at least one cloud platform (GCP, Azure, or AWS), and experience building and maintaining data pipelines
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor
• Professional English proficiency at C1 or C2 level minimum, as you'll work daily with international clients and colleagues
• Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience
• A certification on at least one major AI platform or cloud is a strong differentiator at application; if you don't hold one yet, obtaining one within the first two months is required, with exam sponsorship and prep time provided

Responsibilities

• Develop user-facing interfaces in TypeScript and React, along with the backend services and APIs behind them in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
• Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
• Apply solid engineering practices including version control, code review, automated testing, CI/CD, and observability
• Deploy on cloud infrastructure across GCP, Azure, or AWS, and build and maintain the data pipelines feeding AI systems
• Use agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor daily with good judgment about verification and review
• Communicate progress, trade-offs, and blockers clearly to clients and project leads
• Support pre-sales when needed, including scoping solutions, building demos, and estimating effort
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

Skills

React

Python

Node.js

TypeScript

LLM development

Cloud platforms

CI/CD

English proficiency

Education

Bachelor's or Master's degree in CS/engineering or related field

Tools

LangGraph

LangChain

Google ADK

Claude Agent SDK

OpenAI Agents SDK

Claude Code

Gemini CLI

Codex

Cursor

Job description

We Love AI Jobs is seeking a Forward Deployed Engineer to design and build full-stack AI applications for enterprise clients. You’ll own the React front end and the Python/Node service, implement RAG pipelines, and ensure production-grade reliability.

Join a global data and AI consulting team, collaborate with clients, mentor juniors, and help shape reusable components and standards while working fully remotely with US business hours.