Forward Deployed Engineer (AI) - Uruguay

NextLink Labs LLC

Job Overview

Location

Uruguay

Job Type

Full-time

Full Job Description

📋 Description

• Design and build robust ETL/ELT pipelines and data infrastructure to support production AI applications, ensuring high data quality and availability for clients
• Implement end-to-end Retrieval-Augmented Generation (RAG) pipelines including data ingestion, chunking, embedding generation, vector store management, and retrieval optimization
• Develop and deploy agentic workflows using frameworks such as Claude Agent SDK, LangGraph, or comparable tools, incorporating tool use, planning, and multi-step orchestration
• Build production-grade AI applications on top of LLMs (Claude, GPT, open-source models), including chat interfaces, copilots, agents, and back-office automation systems
• Write evaluation suites and guardrails to measure and ensure AI system performance, safety, cost efficiency, and latency before and after deployment
• Integrate AI components into existing client software environments via 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 iteratively refine them into production-ready systems
• Collaborate directly with clients to translate ambiguous business problems into technical AI solutions, acting as a bridge between technical implementation and client needs
• Document system architectures, share learnings with the broader NextLink AI practice, and contribute to internal accelerators and reference implementations
• Manage cloud-native infrastructure including containerized deployments, secrets, and IAM policies on one of the major cloud platforms (AWS, Azure, GCP)
• Instrument code for observability and reason about performance in non-deterministic AI systems, including logging, tracing, and monitoring
• Present technical work clearly to both engineering teams and non-technical stakeholders using strong written and verbal English
• Maintain a consultative approach in client engagements, asking incisive questions, managing ambiguity, and persisting through complex, messy problems
• Contribute to the growth of NextLink’s AI practice by refining internal tools, sharing documentation, and improving reusable components across engagements
• Work remotely as an independent contractor with significant daily overlap with US Eastern Time (ET)

🎯 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 strong written communication culture (docs, async updates, clear PRs)
• Investment in professional growth through access to LLM playgrounds, an internal AI guild, and mentorship from senior architects
• Opportunity to build and scale cutting-edge AI systems at the frontier of applied AI with real-world client impact

Skills & Technologies

Python

JavaScript

TypeScript

Java

AWS

Remote

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NextLink Labs LLC

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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.

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