AI Engineer / Senior AI Engineer - Agentic Systems & LLM Integration in Santiago, Chile
Published on CazVidat 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.
Salary
Not provided
Location
Santiago, Chile
Employment type
Full time
Workplace
Not provided
AI Engineer / Senior AI Engineer - Agentic Systems & LLM Integration in Santiago, Chile
Santiago, Chile
Job description
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.
Frequently asked questions
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.