Senior AI Engineer

2 semanas atrás

Lisboa, Lisboa, Portugal Hitachi Digital Services Tempo inteiro

Our company

Hitachi Digital Services is a global digital solutions and transformation business. We bring together deep engineering expertise and industry knowledge to modernize, optimize, and run mission-critical platforms at scale.

Meet our Team

Hitachi Digital Services Vietnam is part of a 300 strong global delivery network, supporting Hitachi Digital Services around the globe. Our employees collaborate with teams in India, Portugal, and the US, servicing customers worldwide and working on a huge variety of projects. From cloud migration to digital modernization and advanced analytics, offering operational excellence, agile delivery, and plenty of energy to work on huge transformation projects for our customers.

The role

You'll design, build, and operate AI capabilities that can be safely embedded into real delivery: from LLM-enabled workflows to RAG and agent-based systems, integrated into enterprise applications and platforms, and maintained to production standards. 

What you'll do (core responsibilities)

  • Engineer AI solutions end-to-end: data preparation, model or LLM integration, evaluation, deployment, and operational monitoring. 
  • Translate business and delivery needs into working AI designs (including integration patterns and APIs), collaborating with architects, platform engineers, and client stakeholders. 
  • Contribute reusable assets: reference implementations, patterns, templates, internal libraries, and delivery playbooks.
  • Build with production discipline: testing, version control, CI/CD alignment, and pragmatic performance/scalability considerations.  

What you'll bring

  • Strong software engineering in Python (and/or TypeScript/C#), building API-first services and integrating AI capabilities into real application layers (notebooks to production). 
  • Practical agent/LLM application engineering: prompt/tool design, orchestration patterns, and integrating with agent frameworks such as LangChain or Semantic Kernel (or equivalent).
  • Retrieval and knowledge patterns: embeddings, vector search, indexing, and using fit-for-purpose stores (vector DB, relational DB, graph DB, cache) to support RAG-style systems and memory.
  • MLOps/LLMOps hygiene: reproducibility and lifecycle management (experiment tracking, evaluation, packaging, and model/app versioning), using tools such as MLflow (or equivalent).
  • Working knowledge of ML/GenAI concepts and common frameworks (for example PyTorch; Hugging Face where relevant).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and the practicalities of deploying AI services into real environments.
  • Clear communication and a habit of writing things down (design notes, trade-offs, runbooks). 

About us
We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

#LI-AS1

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