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Full Stack Engineer (Enterprise GPT Assistant)

Lisbon, Portugal

Job Type

Full Time

Workspace

Hybrid

About the Company

At Sourcing Trust, we are committed to delivering innovative, reliable, and tailored technology solutions that empower businesses to succeed in a rapidly evolving digital landscape. With a focus on excellence, integrity, and collaboration, we build lasting partnerships by understanding our clients' unique needs and providing them with expert support across. Our team is dedicated to fostering a positive and inclusive work environment where every employee's contribution is valued, encouraging continuous growth, learning, and shared success. Join us and be part of a passionate organization driven by innovation and excellence.

About the Role

We are looking for an experienced Full Stack Engineer focused on end-to-end platform development for an internal GPT assistant, architecting, developing, testing, and deploying new features and integrations across the full stack (Node.js/Python, MongoDB). The role owns robust, scalable architecture, drives Generative AI innovation, and promotes technical excellence through documentation, best practices, and mentoring.

Requirements

Requirements

Mandatory Skills

  • MSc in Software/Computer Engineering or equivalent.

  • Experience with version control systems (e.g., Git).

  • Proficiency in Node.js (TypeScript) or Python.

  • Practical experience developing/using Generative AI APIs (e.g., LLMs) and tools.

  • Document databases (e.g., MongoDB).

  • Application containerization (e.g., Docker).

Preferred Skills

  • 1+ year as frontend or backend software developer.

  • Kubernetes.

  • CI/CD pipelines (e.g., GitHub Actions, ArgoCD).​

  • Message queues (e.g., RabbitMQ, Kafka).

  • Distributed cache (e.g., Redis).

  • Linux.

  • Cloud solutions (Azure, GCP, AWS).

  • Developer Portal.

  • Automation testing libraries (e.g., Playwright).

Key Responsibilities

  • Build robust & scalable architecture: Ensure security, efficiency, growth-readiness; optimize performance, implement CI/CD (GitHub Actions, ArgoCD), and service reliability.​

  • Drive innovation with Generative AI: Research, prototype LLM applications and emerging AI technologies.

  • Promote technical excellence: Create documentation, define best practices, mentor team.

Language Requirements

  • English proficiency (mandatory for technical documentation and collaboration).

  • Portuguese fluency (preferred).

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Tel:  (+351) 21 601 75 42

Estrada da Luz, N 90, Andar 7E 1600-160, Lisboa Portugal

© 2025 Sourcing Trust

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