AI Engineer: Build Production‑Ready AI at Scale

Mercedes-Benz.io; Lisboa; Hybrid; EUR 60,000 - 100,000; Full time

Benefits offered by this job

Flexible hybrid work model

Open source software

Brand Connection perks

Health insurance and life insurance

Proactive self-development through int

international trainings and confs

Job summary

Mercedes-Benz.io seeks an AI Engineer to shape next-generation AI-powered products. You will design, build and operate production-ready AI systems that integrate with product teams, software engineers, and domain experts.

Proficiency with Python is central, with Kotlin and TypeScript for embedding AI into domain systems. You will collaborate on retrieval pipelines, embeddings, and RAG approaches, while promoting Responsible AI practices and ensuring observability and reliability across systems.

Qualifications

• Proven experience designing, building, and operating production-ready systems.
• Hands-on experience building AI-powered applications with LLMs.
• Strong understanding of AI system design, agent architectures, orchestration patterns, state management, and tool integration.
• The ability to evaluate technical and business trade-offs, selecting the most appropriate solution.
• Experience designing and implementing retrieval and knowledge systems, including embeddings, retrieval pipelines, grounding strategies, context engineering, and retrieval-augmented generation (RAG) approaches.

Responsibilities

• Analyze and decompose complex problems, determining where AI-driven reasoning adds value and where deterministic software is better.
• Evaluate and select models, frameworks, and technologies, balancing quality, latency, scalability, cost, and production readiness.
• Design, build, and operate AI systems and agentic solutions, including single-agent and multi-agent architectures.
• Develop AI-powered applications using LLMs, prompts, structured outputs, tool‑calling capabilities, and orchestration logic.
• Build retrieval and knowledge systems and grounding mechanisms to improve response quality and reliability.

Skills

Software engineering

AI/LLMs

Agent architectures

Retrieval systems

Observability

Tools

Python

Kotlin

TypeScript

Job description

Mercedes-Benz.io seeks an AI Engineer to shape next-generation AI-powered products. You will design, build and operate production-ready AI systems that integrate with product teams, software engineers, and domain experts.

Proficiency with Python is central, with Kotlin and TypeScript for embedding AI into domain systems. You will collaborate on retrieval pipelines, embeddings, and RAG approaches, while promoting Responsible AI practices and ensuring observability and reliability across systems.