Senior AI Engineer - End-to-End AI & LLM Solutions, Hybrid

Siemens España; Amadora; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Hybrid model

Home office budget

Health insurance

Shuttle service

Job summary

Siemens AG Portugal Tech Hub is seeking a Senior AI Engineer to design and ship end-to-end AI solutions—from data and retrieval pipelines through model orchestration to user interfaces. You will work in an international team, architect reusable patterns, and contribute to the evolution of AI platforms.

The role requires 5+ years in software/ML, strong Python, LLM frameworks, and cloud-native skills (Docker/Kubernetes, CI/CD). Fluent English and cross-disciplinary collaboration are essential.

Qualifications

• 5+ years in software engineering, ML engineering, or data science roles with hands-on AI/LLM tech.
• Proven ability to take solutions from exploration to production, not just prototypes.
• Experience delivering complex projects with multiple stakeholders.

Responsibilities

• Design, develop, and deploy end-to-end AI solutions including RAG pipelines and LLM-based apps.
• Apply production-grade AI practices: clean code, testing, CI/CD, containerization, observability, MLOps/LLMOps.
• Lead initiatives from concept to deployment, aligning with business goals.
• Prototype rapidly, validate with users, then harden valuable parts.
• Collaborate with international teams to integrate AI into existing systems.

Skills

Python

TypeScript

C#

Java

Go

LLM tech

RAG architectures

Vector search

APIs

Docker/Kubernetes

CI/CD

MLOps/LLMOps

PyTorch

SQL/NoSQL

Cloud-native

Education

Degree in Computer Science / Data Science / ML / Math / Stats / Engineering or related field

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

OpenAI Agents SDK

Job description

Siemens AG Portugal Tech Hub is seeking a Senior AI Engineer to design and ship end-to-end AI solutions—from data and retrieval pipelines through model orchestration to user interfaces. You will work in an international team, architect reusable patterns, and contribute to the evolution of AI platforms.

The role requires 5+ years in software/ML, strong Python, LLM frameworks, and cloud-native skills (Docker/Kubernetes, CI/CD). Fluent English and cross-disciplinary collaboration are essential.