AI Engineer
AvantStay Brazil; Poland; Serbia; Georgia; Mexico; United States; Spain; United Kingdom; Portugal; Argentina Remoto Publicada em 15 de jun. de 2026
Mid-level
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Responsabilidades
- Ship LLM systems that tightly integrate with our infrastructure and knowledge bases: PostgreSQL, Clickhouse, Kafka, APIs, MCPs
- Maintain autonomous and human-in-the-loop systems and ensure uptime and accuracy
- Interact with users and stakeholders to understand their problems and design solutions
- Stay up-to-date with the latest trends in LLMs and applied AI practices
- Collaborate with a cross-functional team of engineers, product managers, designers, and other members to create a product that solves actual problems
- Update existing systems to be agent-accessible, including refactoring APIs that were never meant to be called by an LLM
- Build the patterns and tooling that let the rest of engineering deploy agents faster
Requisitos
- Shipped at least one LLM-powered system used by real users (internal or external) that took actions in a real system
- Can talk specifically about evals, retrieval shape, observability of agent traces, and handling non-determinism in a system business operators depend on
- Strong software engineering fundamentals - databases, Kafka, GraphQL/REST, Kubernetes, AWS
- Proficient in TypeScript
- Product instincts. Can sit with a stakeholder for an hour and walk out with a concrete idea of what to build
- Fluent in English
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