Hybrid AI Engineer — Build Scalable AI Solutions

Monaghan Biosciences Ltd.; Portugal; Híbrido; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hybrid work

Open source software

Flat hierarchy

Brand Connection perks

Health insurance

Life insurance

Training & conferences

Much more

Resumo da oferta

Mercedes-Benz.io is seeking an AI Engineer to shape the next generation of AI-powered products. Working at the intersection of software engineering and AI, you will design, build, and operate production-ready AI systems that deliver measurable business impact.

You will primarily work with Python, Kotlin and TypeScript, collaborating with product teams, engineers and domain experts to deploy reliable AI capabilities across our platforms.

Qualificações

• Proven experience in software engineering, with the ability to design, build, and operate maintainable, scalable, secure, and production‑ready systems.
• Hands-on experience building AI‑powered applications with LLMs, including prompting strategies, structured outputs, tool integration, or agentic workflows.
• Strong understanding of AI system design, agent architectures, orchestration patterns, state management, and tool integration approaches.
• The ability to evaluate technical and business trade‑offs, selecting the most appropriate solution rather than the most complex one.
• Experience designing and implementing retrieval and knowledge systems, including embeddings, retrieval pipelines, grounding strategies, context engineering, and retrieval‑augmented generation (RAG) approaches.

Responsabilidades

• Analyze and decompose complex problems to identify where AI adds value.
• Evaluate models, frameworks, and technologies for production readiness and scalability.
• Design, build, and operate AI systems and agentic solutions (single and multi-agent).
• Develop AI-powered applications using LLMs, prompts, structured outputs, tool integration, and orchestration logic.
• Build retrieval and knowledge systems with embeddings, pipelines, grounding, and context management.
• Implement Responsible AI practices including privacy protections and security controls.
• Define evaluation strategies with datasets, quality assessments, and performance metrics.
• Ensure production reliability with observability, monitoring, and tracing.
• Investigate and resolve AI system failures across retrieval, prompting, and tool usage.
• Contribute to shared AI platforms and engineering practices.
• Act as an advocate for AI engineering excellence and enable other teams.

Conhecimentos

Software engineering

AI-powered apps

AI system design

Trade-offs evaluation

Retrieval & knowledge systems

Descrição da oferta de emprego

Mercedes-Benz.io is seeking an AI Engineer to shape the next generation of AI-powered products. Working at the intersection of software engineering and AI, you will design, build, and operate production-ready AI systems that deliver measurable business impact.

You will primarily work with Python, Kotlin and TypeScript, collaborating with product teams, engineers and domain experts to deploy reliable AI capabilities across our platforms.