Production AI Engineer: Scalable LLM Systems

Visa Hunt; Lisboa; Presencial; EUR 55 000 - 95 000; Tempo integral

Resumo da oferta

Indicium AI is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role focuses on building reliable, scalable applications and not on model training.

You will work with cutting-edge LLM technologies to create multi-agent orchestration, intelligent tool integration, and robust production workflows. Strong Python proficiency and cloud platform knowledge are essential for delivering production-ready AI solutions.

Qualificações

• Proficient in building production AI systems using LLMs and APIs.
• Experience with retrieval augmented generation (RAG) architectures and vector storage.
• Strong software engineering practices, CI/CD, testing, and deployment pipelines.

Responsabilidades

• Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks.
• Create evaluation frameworks to measure and monitor system performance, accuracy, and reliability.
• Build and maintain production-grade AI applications with clean code, APIs, and data pipelines.
• Experience implementing, maintaining and evaluating retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, retrieval techniques such as HyDE).
• Implement feedback loops and observability to continuously improve system performance.
• Craft effective prompts and optimize for latency, cost, and quality across model providers.

Conhecimentos

Python

LLM APIs

Cloud platforms

RAG pipelines

Vector databases

CI/CD

English & Portuguese

Ferramentas

AWS

GCP

Azure

LangGraph

Descrição da oferta de emprego

Indicium AI is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems powered by large language models. This role focuses on building reliable, scalable applications and not on model training.

You will work with cutting-edge LLM technologies to create multi-agent orchestration, intelligent tool integration, and robust production workflows. Strong Python proficiency and cloud platform knowledge are essential for delivering production-ready AI solutions.