AI Engineer

Our company

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

Meet our Team

CAAI is the engineering and architecture centre for AI at HDS: a practitioner-led centre that turns Hitachi global "AI ambition" into repeatable, governed delivery. The team builds reference architectures, reusable components, guardrails, and evaluation methods that can be deployed across client environments (cloud and hybrid) and productised into internal accelerators.

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.
Deliver production-grade AI components independently, mentor juniors informally, and improve CAAI’s reusable assets.
Own small-to-mid AI workstreams: from design through release and operational handover.
Engineer RAG and agent-based capabilities with clear evaluation, failure-mode handling, and measurable outcomes.
Partner with solution architects to integrate AI into broader delivery (identity, security boundaries, data access patterns).

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).
Degree (or equivalent experience) in CS/Engineering/Maths; strong fundamentals and programming ability.
Hands-on delivery experience with GenAI, including RAG and agent-based systems; comfort with common orchestration tooling.
Solid cloud engineering habits: services integration, deployment patterns, and reliability basics.

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.

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