Forward Deployed Engineer – Creative Ai (100% Remote)

Allshore Talent; Buenos Aires; Remote; ARS 138,361,000 - 230,602,000; Full time

Job summary

Allshore Talent is seeking a Forward Deployed Engineer to design and build full-stack AI applications. You will own the React front end and the backend in Python or Node, implement RAG pipelines, and deploy production‑grade AI systems on GCP, Azure, or AWS while working with international clients.

The role requires 3–5 years of software or data engineering, deep specialization in at least one major AI platform, and strong English communication.

Qualifications

• 3–5 years of software or data engineering experience with hands-on AI tools.
• Frontend in React; backend in Python or Node.js.
• Experience with RAG, embeddings and vector search.
• Specialization in at least one major AI platform: Google, Anthropic or OpenAI.
• Cloud experience with GCP, Azure or AWS and data pipelines.
• Professional English at C1/C2 level.
• Bachelor's or Master's in CS/Engineering or equivalent experience.
• AI platform or cloud certification is a differentiator; plan to obtain within two months.

Responsibilities

• Develop user-facing interfaces in TypeScript and React with backend services in Python or Node.
• Implement agentic behavior including orchestration, tool calls, memory and guardrails.
• Build retrieval-augmented generation pipelines with embeddings and vector search.
• Connect AI systems to enterprise data via APIs and MCP protocols.
• Write evaluation suites and regression tests; monitor cost, latency and quality.
• Apply solid engineering practices: VCS, code reviews, CI/CD and observability.
• Deploy on GCP, Azure or AWS and maintain AI data pipelines.
• Use agentic tools like Claude Code and Gemini CLI daily with careful review.
• Communicate progress and blockers to clients and project leads.
• Assist pre-sales with demos and effort estimation; mentor junior engineers.

Skills

React

Python

Node.js

TypeScript

RAG

Embeddings

Vector Search

Cloud (GCP/AWS/Azure)

LangChain / LangGraph

OpenAI / Claude SDKs

English Proficiency

Software Engineering

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

Claude Code

Gemini CLI

Codex / Cursor

Job description

About Our Client

Our client is a global data and AI consulting firm serving enterprise clients across multiple industries, including FMCG, financial services, healthcare, manufacturing, and the public sector, with a team of data and AI experts spread across 20+ countries.

About the Role

We're looking for a Forward Deployed Engineer to design and build full-stack AI applications, agentic systems, and production‑grade AI infrastructure. You'll take AI features from idea to production, owning the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works.

This is a breadth‑and‑depth role. You need to move confidently across the full stack and have genuine specialization in at least one major AI platform: Google, Anthropic, or OpenAI. You'll work with direct client exposure, communicate trade‑offs and progress clearly, and support the development of junior engineers around you.

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

What We're Looking For

• 3 to 5 years of software or data engineering experience, with extensive hands‑on use of AI tools and LLM‑based development over the past year
• 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

Nice to Have

• Experience with MCP servers, multi‑agent patterns, or LLM evaluation tooling such as LangSmith, Langfuse, or promptfoo
• Experience with Terraform or CI/CD pipelines
• Background in a consulting, professional services, or client‑delivery environment

Work Schedule

• 100% remote setup so you can work wherever you're most productive
• This position operates on a full‑time basis, with dedicated hours to ensure alignment with the team and delivery of quality work
• Availability during US business hours

Compensation & Time Off

• Compensation paid in USD
• Paid bi‑monthly on the 15th and 30th
• Paid Time Off according to company policy
• Holidays observed according to company guidelines

Application Requirements

• An updated resume
• A GitHub link or portfolio showing AI systems or full‑stack projects you've built and shipped in production, with a focus on agentic or LLM‑powered work
• A 1–2 minute Loom video introducing yourself, walking through one production AI system you owned end to end, and explaining how you approached evaluation and reliability alongside the feature build