Analista De Datos | 100% Remoto | Latam

1300 Accenture Srl Company; Buenos Aires; Remote; ARS 127,071,000 - 201,196,000; Full time

Job summary

1300 Accenture Srl Company is seeking a Forward Deployed Engineer to design and build full-stack AI applications, agentic systems, and production-grade AI infrastructure. You’ll own the React front end and the Python or Node service behind it, plus the RAG pipeline and evaluations demonstrating performance.

This role spans the full stack with deep specialization in at least one major AI platform, and involves direct client exposure, collaboration across teams, and mentoring junior engineers.

Qualifications

• Bachelor's or Master's in CS/engineering or equivalent experience.
• Hands-on experience with AI tools and LLM-based development.
• Fluency in English at C1/C2; strong communication with international clients.

Responsibilities

• Develop user-facing interfaces in TypeScript and React and 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 semantic layers.
• Write evaluation suites and monitor cost, latency, quality in production.
• Mentor junior engineers and contribute to internal accelerators and standards.

Skills

Frontend React

Backend framework

RAG & embeddings

Vector search

Agentic tools

English proficiency

CS/Engineering degree

AI platform certs

Education

Bachelor's or Master's in CS/Engineering

Tools

LangGraph

LangChain

Google ADK

Claude Agent SDK

OpenAI Agents SDK

GCP

Azure

AWS

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

Only candidates who submit both a portfolio and Loom video will be moved to the next step of the hiring process.

Job Type

Full‑time
Location: Remote
Work Arrangement: Hourly