Forward Deployed Engineer (PCS932)

Overseas

Buenos Aires

A distancia

ARS 185.819.000 - 278.728.000

Jornada completa

Hace 2 días
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Remote-friendly
Paid time off
Holidays according to policy

Descripción de la vacante

Overseas is seeking a Forward Deployed Engineer for a fully remote role spanning Peru, Argentina, Brazil, and beyond. You will build end-to-end AI applications, own the React frontend and Python/Node backend, and manage RAG pipelines, embeddings, and evaluation suites.

You’ll work with major AI platforms (Google, Anthropic, OpenAI), mentor juniors, and engage directly with clients to scope solutions, demos, and timelines. Excellent English required, 100% remote with international collaboration.

Formación

  • 3–5 years of software or data engineering with hands-on AI tooling
  • Proficient in Python and TypeScript/JavaScript, with API experience
  • Front-end experience in React or similar, plus a backend framework
  • Hands-on with RAG, embeddings, vector search, and agentic frameworks
  • Deep specialization in at least one major AI platform (Google, Anthropic, or OpenAI)
  • Experience with at least one cloud platform (GCP, Azure, AWS) and data pipelines
  • English proficiency at C1/C2 for international collaboration

Responsabilidades

  • Develop user-facing interfaces in TypeScript and React with backend services in Python/Node
  • Implement agentic behavior: orchestration, tool calling, memory, 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 regression tests for LLM-powered features
  • Apply engineering best practices: version control, tests, CI/CD, observability
  • Deploy on cloud infrastructure (GCP/Azure/AWS) and maintain data pipelines
  • Use agentic coding tools with good verification and review
  • Communicate progress and blockers clearly to clients and leads
  • Assist pre-sales with scoping, demos, and effort estimation
  • Mentor junior engineers and contribute to internal accelerators

Conocimientos

Python
TypeScript
React
APIs
AI tooling

Educación

CS/Engineering degree

Herramientas

LangGraph
LangChain
Google ADK
Claude Agent SDK
OpenAI Agents SDK
Codex
Cursor

Descripción del empleo

Forward Deployed Engineer
Peru, Argentina, Brazil
Remote

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
  • Strong programming skills in Python and TypeScript or JavaScript, with experience building and consuming APIs
  • 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
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