AI Engineer / Senior AI Engineer - Agentic Systems & LLM Integration in Santiago, Chile

Publicado en CazViden KR Elixir Inc.

Join KR Elixir Inc. as an AI Engineer/Senior AI Engineer in Santiago. Build and operate agentic AI systems and LLM integrations in a hybrid full-time role.

Verificado por CazVidhace 7 mesesFecha límite vencida: 24 mar 2026

Salario

No especificado

Ubicación

Santiago, Chile

Tipo de empleo

Tiempo completo

Modalidad

No especificado

AI Engineer / Senior AI Engineer - Agentic Systems & LLM Integration in Santiago, Chile

Santiago, Chile

Postularme

Descripción del empleo

Role: AI Engineer / Senior AI Engineer (Agentic Systems & LLM Integration) Location: Santiago, Chile Employment Type: Full Time (Hybrid) Role Summary KR Elixir Inc. is seeking an experienced AI Engineer to design, build, and operate production-grade agentic AI systems and large language model (LLM) integrations. This role is responsible for the technical implementation of multi-agent architectures, retrieval-augmented generation (RAG) pipelines, tool and function calling, evaluation frameworks, and session/state management to ensure LLM-based applications perform reliably and safely in customer environments. Key Responsibilities Design and implement multi-agent architectures and runtime components that persist conversation/session state, including checkpointers and persistence layers. Build and operate RAG pipelines, incorporating vector search, reranking (e.g., cross-encoder), and context hygiene techniques to minimize hallucinations. Implement function and tool-calling integrations such as API/function binding, JSON schema outputs, and runtimes that execute and feed results back to LLMs. Create evaluation and testing frameworks, including LLM-as-a-Judge workflows, golden datasets, and rubrics for automated grading of model outputs. Develop conversation history and context window strategies to ensure multi-turn references resolve correctly. Collaborate with engineering and infrastructure teams to integrate LLMs, vector databases, Postgres databases, and monitoring/telemetry systems for production resilience. Produce clear technical designs, runbooks, and unit/integration tests for agent components to enable reproducible failures and component-level observability. Work closely with product, data science, and QA teams on deployment, A/B testing, and performance tuning. Required Skills & Experience Proven experience building production LLM/agent applications or RAG systems. Hands-on expertise with agent frameworks and persistence concepts.

Preguntas frecuentes

  • Is this position fully remote or on-site?

    This is a full-time hybrid role based in Santiago, Chile, so you will be working partly on-site.

  • What kind of experience do I need for this AI Engineer role?

    You need proven experience building production LLM or agent applications, RAG systems, and hands-on expertise with agent frameworks and persistence concepts.

  • What are the main responsibilities of this job?

    You will design and implement multi-agent architectures, build RAG pipelines, integrate function/tool calling, create evaluation frameworks, and collaborate with teams on deployment and performance tuning.

  • What programming skills are required?

    Strong programming skills with experience in APIs, JSON schema, runtime environments, vector search technologies, and database integrations are required.

  • Will I be working with other teams?

    Yes, you will collaborate closely with engineering, infrastructure, product, data science, and QA teams to ensure reliable and safe LLM-based applications.

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