Artificial Intelligence Engineer

KCS iT; Lisboa; Híbrido; EUR 40 000 - 70 000; Tempo integral

Resumo da oferta

KCS iT is looking for an Amazing IA Engineer to join their team in Lisboa, Portugal. The position is hybrid and suitable for candidates at all experience levels, from junior to senior. Key responsibilities include developing backend APIs and working with cloud-native technologies like Docker and Kubernetes.

The ideal candidate will have proficiency in Java and/or Python, solid understanding of REST, Kafka, and strong problem-solving skills. Fluency in both Portuguese and English is required.

Qualificações

• Experience in Java and/or Python.
• Experience building backend APIs and distributed systems.
• Good understanding of REST, async processing and event-driven architectures.
• Experience with Kafka or messaging systems.
• Experience with cloud-native development (Docker/Kubernetes).
• Strong analytical and problem-solving skills.

Conhecimentos

Java

Python

REST

Kafka

Docker

Kubernetes

CI/CD pipelines

Analytical skills

Communication skills

Fluent in Portuguese

Fluent in English

Descrição da oferta de emprego

We are looking for an Amazing: IA ENGINEER

Seniority: ALL LEVELS- JUNIOR- MIDDLE- SENIOR

Type of position: HYBRID

Job Requirements

• Experience in Java and/or Python
• Experience building backend APIs and distributed systems
• Good understanding of REST, async processing and event‑driven architectures
• Experience with Kafka or messaging systems
• Experience with cloud‑native development (Docker/Kubernetes)
• Experience with MCP servers, AI agents, RAG architectures, vector databases or LLM integration frameworks
• CI/CD pipelines, Git workflows, automated testing
• Strong analytical and problem‑solving skills, product‑oriented thinking
• Collaborative mindset with strong communication skills
• Nice to have: experience in banking/regulated environments, Snowflake, Team Topologies
• Fluent in Portuguese and English

All applications with relevant skills are welcome!

We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.