Forward Deployed Engineer (AI) - Brazil

Role Overview

NextLink Labs is hiring a Forward Deployed Engineer to join our growing AI practice. You'll work directly with clients on the design, build-out, and roll-out of production AI systems, collaborating closely with an AI Architect and focusing on the robust data infrastructure that makes AI applications work in the real world.

What You Will Do

As a Forward Deployed Engineer, you'll partner directly with clients to translate ambiguous business problems into production AI systems. You'll build the data infrastructure that underpins AI applications, develop RAG and agentic workflows on top of modern LLMs, write the evaluation suites and guardrails that keep those systems safe and performant, and integrate the whole thing into clients' existing software environments.

Why It Might Be a Fit

You'll need to be technically deep, comfortable in ambiguity, and energized by direct client contact. You'll have the opportunity to build something big and exciting at the frontier of applied AI.

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
• Experience writing tests, instrumenting code, and reasoning about observability, including for non-deterministic systems
• Strong written and verbal English; comfortable presenting technical work to client engineering teams and non-technical stakeholders
• Customer-facing instincts: you ask good questions, manage ambiguity well, and don't disappear when a problem gets messy

Benefits

• Investment in your growth, including access to LLM playgrounds, an internal AI guild, and senior architects to learn from
• The opportunity to build something big and exciting at the frontier of applied AI