Senior Software Engineer

SmartRecruiters, Inc.; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Inetum, a European leader in digital services, seeks a seasoned software engineer to work directly with front-office operators, understand workflows, and design and build applications and automations that leverage modern LLM tools.

The role may grow into a small team leadership position within ~6 months, setting technical direction for AI initiatives and guiding the evolution of AI-enabled enterprise workflows across the data architecture.

Qualificações

• Bachelor's degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related quantitative field.
• Minimum 5+ years of professional software engineering experience, with demonstrated expertise in building production-grade applications.
• Exceptional communication and stakeholder management capabilities, with proven ability to translate complex technical concepts for non-technical business audiences.
• Demonstrated hands‑on experience with Large Language Models, AI tooling, agentic workflows, Retrieval‑Augmented Generation (RAG), and automation frameworks
• Strategic and analytical mindset with the ability to architect solutions that extend beyond immediate requirements toward sustainable team and organizational capability development
• Substantive experience designing and implementing data-driven applications and enterprise workflows
• Prior experience in a team leadership or technical mentorship capacity, particularly relevant given the trajectory toward heading the AI² initiative
• Expert-level proficiency in English, both written and verbal

Responsabilidades

• Engage directly with front-office operators to identify automation opportunities and pain points
• Design and build applications/workflow automations, leveraging LLM tools (e.g. Claude, MCP servers, agentic workflows)
• Bring strategic thinking to how AI/automation should evolve within QDI's Bronze/Silver/Gold data architecture
• Set technical direction and best practices for the future AI team
• Grow into a team lead role after ~6 months, managing and hiring for AIinitiatives

Formação académica

Bachelor's degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or related quantitative field

Ferramentas

LLMs experience

AI tooling

agentic workflows

RAG

leadership

stakeholder mgmt

English proficiency

Descrição da oferta de emprego

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

Job Description

A seasoned software engineer who can sit with front-office operators, understand their workflows, and design/build applications and automations that leverage modern LLM tools. This position could be later expanded to managing a small team.

• Engage directly with front-office operators to identify automation opportunities and pain points
• Design and build applications/workflow automations, leveraging LLM tools (e.g. Claude, MCP servers, agentic workflows)
• Bring strategic thinking to how AI/automation should evolve within QDI's Bronze/Silver/Gold data architecture
• Set technical direction and best practices for the future AI team
• Grow into a team lead role after ~6 months, managing and hiring for AIinitiatives

Qualifications

• Bachelor's degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related quantitative field
• Minimum 5+ years of professional software engineering experience, with demonstrated expertise in building production-grade applications
• Exceptional communication and stakeholder management capabilities, with proven ability to translate complex technical concepts for non-technical business audiences
• Demonstrated hands‑on experience with Large Language Models, AI tooling, agentic workflows, Retrieval‑Augmented Generation (RAG), and automation frameworks
• Strategic and analytical mindset with the ability to architect solutions that extend beyond immediate requirements toward sustainable team and organizational capability development
• Substantive experience designing and implementing data-driven applications and enterprise workflows
• Prior experience in a team leadership or technical mentorship capacity, particularly relevant given the trajectory toward heading the AI² initiative
• Expert-level proficiency in English, both written and verbal