Production AI Engineer — Python, LangChain & Kubernetes

Euro Staffs; Porto; Presencial; EUR 50 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Career progression

Work-life balance

Resumo da oferta

Axians Porto invites an AI Engineer to join a dedicated squad maintaining and evolving a portfolio of production AI agents supporting back-office operations in finance. You will design, develop, and optimize agents, ensuring reliability, scalability, and operational excellence.

The role emphasizes Python development, LangGraph/LangChain, and deployment in Kubernetes. English proficiency and collaboration with analysts are essential for success.

Qualificações

• 3 to 6 years of Python software engineering experience.
• 1 to 2 years of experience with LLM and Generative AI applications.
• Experience designing AI agents with tool calling, memory management, and reasoning workflows.
• Knowledge of testing practices, including pytest and deterministic testing.
• Advanced level of English (written and spoken).

Responsabilidades

• Develop and maintain AI agents in Python using LangGraph and LangChain.
• Design and optimize agent workflows: task decomposition, tool integration, memory management.
• Engineer prompts and deployment settings within Kubernetes environments.
• Build evaluation frameworks, regression tests, quality metrics, and shadow testing.
• Collaborate with business stakeholders to translate requirements into AI solutions.

Conhecimentos

Python AI development

Agentic AI frameworks

Prompt engineering & RAG

REST & gRPC APIs

Docker & Kubernetes

Ferramentas

LangGraph

LangChain

AutoGen

CrewAI

Descrição da oferta de emprego

Axians Porto invites an AI Engineer to join a dedicated squad maintaining and evolving a portfolio of production AI agents supporting back-office operations in finance. You will design, develop, and optimize agents, ensuring reliability, scalability, and operational excellence.

The role emphasizes Python development, LangGraph/LangChain, and deployment in Kubernetes. English proficiency and collaboration with analysts are essential for success.