Senior AI Engineer

Location: Lisbon, Portugal; hybrid or full remote

Company

Established in 2011, hirify.global is a technology services provider delivering digital solutions for enterprise clients across fintech, professional services, logistics, healthcare, and agriculture.

What you will do

• Design and build production-grade AI applications and services using Python.
• Translate business requirements and AI use cases into scalable technical solutions.
• Build backend services, APIs, workflows, integrations, and reusable components incorporating LLMs and other AI capabilities.
• Design evaluation frameworks, repeatable test cases, observability, instrumentation, tracing, and monitoring for AI systems.
• Develop automated tests and CI/CD pipelines, diagnose production issues, and support deployed applications.
• Contribute to architecture decisions, review engineering work, establish best practices, and collaborate directly with clients and stakeholders.

Requirements

• 5+ years of experience in software engineering, backend engineering, applied AI, or a related field.
• Strong Python fundamentals and experience building maintainable, production-grade Python applications, backend services, and APIs.
• Experience deploying AI or LLM-powered products beyond proof-of-concept or notebook environments.
• Strong software engineering fundamentals, including modular design, testing, version control, and CI/CD.
• Experience evaluating LLM outputs, designing repeatable AI test cases, and improving the reliability and predictability of probabilistic systems.
• Experience with observability, external APIs, data sources, enterprise systems, technical problem-solving, and stakeholder communication.

Nice to have

• Experience with RAG, semantic search, embeddings, vector databases, or retrieval-based AI architectures.
• Experience building agentic or multi-step LLM workflows, structured outputs, tool calling, and schema-driven applications.
• Familiarity with Azure AI Foundry, Microsoft Fabric, Databricks, cloud infrastructure, containerisation, and production deployment.
• Experience with AI evaluation, experimentation, observability platforms, modern Python frameworks, or enterprise data platforms.
• Consulting or enterprise experience, including financial services, manufacturing, or client-facing production applications.

Culture & Benefits

• Hybrid or full remote working arrangement.
• Work with enterprise clients and global delivery teams.
• People-first culture focused on responsible growth.
• Opportunities to contribute to community and corporate social responsibility initiatives.
• Work guided by international principles for sustainable development and business ethics.