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 in Santiago. Design and build production-grade agentic AI systems and LLM integrations. Full-time, hybrid role.
Salary
$0 per year
Location
Santiago, Chile
Employment type
Full time
Workplace
Not provided
AI Engineer / Senior AI Engineer - Agentic Systems & LLM Integration in Santiago, Chile
$0 per year
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/function calling, evaluation frameworks, and session/state management to ensure reliable and safe LLM-based applications in customer environments. Key Responsibilities Design and implement multi-agent architectures and runtime components that persist conversation/session state using checkpointers and persistence layers. Build and operate RAG pipelines, including vector search, reranking (cross-encoder or equivalent), and context hygiene to minimize hallucinations. Implement function and tool-calling integrations with API/function binding, JSON schema outputs, and runtimes that execute and feed results back to LLMs. Create evaluation and testing frameworks such as LLM-as-a-Judge workflows, golden datasets, and rubrics for automated grading of model outputs. Design and manage 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 for production resilience. Produce clear technical designs, runbooks, and unit/integration tests for agent components, enabling 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. Strong programming skills and experience with APIs, JSON schema, and runtime environments. Experience with vector search technologies and database integrations. Ability to develop automated evaluation frameworks and testing methodologies. Excellent collaboration skills with cross-functional teams. Join KR Elixir Inc. in Santiago, Chile, and contribute to pioneering AI solutions that drive innovation and reliability in agentic systems and LLM integration.