Strong passion for Generative AI, LLMs, and AI-powered products.Strong software engineering fundamentals.Experience coding in Python.Experience working with APIs, Git, SQL, and backend development concepts.Experience building LLM-based applications, agents, workflows, or automations.Understanding of agentic AI patterns and orchestration frameworks.Understanding of RAG architectures, vector databases, embeddings, retrieval strategies, and context optimization.Understanding of prompt engineering techniques, LLM behavior, structured reasoning, and token optimization.Ability to design evals, tests, monitoring processes, and feedback loops for AI systems.Strong ownership, autonomy, and ability to move projects forward with limited supervision.Ability to research independently, compare alternatives, and recommend practical solutions.Ability to explain technical concepts clearly and teach others.High adaptability to evolving requirements, timelines, tools, and priorities.
We are looking for someone able to
Design, build, and iterate AI-powered features, agents, workflows, automations, and internal tools.Build agentic AI systems using frameworks or similar orchestration tools.Design and implement RAG systems, including vector databases, GraphRAG, hybrid retrieval, agentic RAG, and retrieval optimization.Create, test, and optimize prompts, system instructions, context strategies, token usage, and AI interaction patterns.Develop evaluation frameworks to measure quality, reliability, accuracy, recall, precision, safety,



and performance.Implement observability and monitoring using tools and platforms.Create guardrails, fallback strategies, safety mechanisms, and human-in-the-loop workflows.Build prototypes, proof of concepts, reusable templates, and production-ready AI components.Research new AI tools, frameworks, models, infrastructure, and healthcare AI trends.Collaborate with product, design, engineering, QA, DevOps, and commercial teams to define feasible AI solutions.Support AI discoveries, technical validations, architecture decisions, risk assessments, and effort estimations.Document best practices, teach other team members, and help teams adopt AI effectively
Other valuable skills
Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, Gemini, AWS Bedrock, or similar tools.Experience with Langfuse, LangSmith, Datadog, or other observability platforms.Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, pgvector, or similar.Experience with GraphRAG, knowledge graphs, hybrid search, semantic search, or agentic RAG.Experience creating automated evaluations, regression tests, prompt tests, retrieval tests, and quality benchmarks.Experience with automation tools such as n8n, Make, Zapier, Retool, or similar.Experience with FastAPI or other Python backend frameworks.DevOps knowledge, including Docker, CI/CD, cloud services, deployment workflows, monitoring, and infrastructure basics.Previous healthcare, biotech, or healthtech experience.Familiarity with HIPAA, PHI, healthcare interoperability, EHR integrations, FHIR, or HL7.
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📌 Ai Engineer (Buenos Aires)
🏢 Light-It
📍 Buenos Aires