Forward Deployed Engineer (AI) - Argentina

NextLink Labs LLC

Job Overview

Location

Argentina

Job Type

Full-time

Full Job Description

📋 Description

• Design and build robust ETL/ELT data pipelines to support production AI applications, ensuring high data quality and availability for LLM-driven systems
• Implement end-to-end Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, text chunking, embedding generation, vector store management, and retrieval optimization
• Develop and deploy agentic workflows using frameworks like Claude Agent SDK, LangGraph, or similar tools, enabling multi-step orchestration, tool use, and planning capabilities
• Build production-grade AI applications on top of modern LLMs (e.g., Claude, GPT, open-source models), such as chat interfaces, copilots, agents, and back-office automation systems
• Create evaluation suites and guardrails to measure and ensure the safety, cost, latency, and performance of AI systems before and after deployment
• Integrate AI components into client environments using REST/GraphQL APIs, event streams, and cloud-native services on AWS, Azure, or GCP
• Conduct rapid prototyping sprints with clients to deliver demo-able AI solutions within days, then iterate toward scalable, production-ready deployments
• Collaborate directly with clients to translate ambiguous business problems into technical AI solutions, acting as a bridge between engineering and business stakeholders
• Document system architectures, share learnings with the broader NextLink AI practice, and contribute to internal accelerators and reference implementations
• Maintain and improve cloud infrastructure for AI applications, managing containerized services, secrets, IAM roles, and monitoring for non-deterministic systems
• Instrument code for observability, write tests, and reason about system behavior in production environments where outputs are probabilistic and variable
• Work remotely with clients across LATAM and the US, ensuring consistent overlap with US Eastern Time (ET) to facilitate real-time collaboration
• Participate in client meetings and technical presentations, communicating complex AI concepts clearly to both engineering teams and non-technical stakeholders
• Contribute to the continuous improvement of NextLink Labs’ AI practice by refining internal tools, methodologies, and reusable components

🎯 Requirements

• 3–5 years of professional software engineering experience, with at least 1 year shipping AI/ML or LLM-based features to production
• Strong Python skills; comfort with at least one of TypeScript/JavaScript, Go, or Java for integration work
• Hands-on experience building applications with modern LLM APIs (Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, etc.)
• Background with data engineering tooling such as dbt, Airflow, Dagster, Snowflake, BigQuery, or Databricks
• Working knowledge of RAG patterns, embedding models, and at least one vector store (pgvector, Pinecone, Weaviate, OpenSearch, etc.)
• Solid grasp of one major cloud platform (AWS, Azure, or GCP), including how to deploy containerized services and manage secrets/IAM

🏖️ Benefits

• Remote-first work environment with a strong written communication culture (docs, async updates, clear PRs)
• Investment in growth through access to LLM playgrounds, an internal AI guild, and senior architects for mentorship
• Opportunity to build and shape applied AI solutions at the frontier of technology with real client impact
• Long-term independent contractor role with significant overlap required with US Eastern Time (ET)

Skills & Technologies

Python

JavaScript

TypeScript

Java

AWS

Remote

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

NextLink Labs LLC

Visit Website

About NextLink Labs LLC

NextLink Labs is a Pittsburgh-based DevOps and software engineering consultancy founded in 2015. The company specializes in cloud architecture, Kubernetes, CI/CD automation, and security for enterprises adopting modern software delivery practices. It provides engineering staff augmentation, platform assessments, and hands-on training to accelerate digital transformation. Clients include Fortune 500 firms, healthcare organizations, and high-growth startups across North America. The firm emphasizes pragmatic, vendor-agnostic solutions and knowledge transfer to internal teams, enabling scalable, resilient infrastructure and faster release cycles.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.