AI Research Engineer

hitachi

Kraków

On-site

PLN 180,000 - 240,000

Full time

2 days ago
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Job summary

Hitachi Energy Services SP. Z O.O. is seeking an AI Research Engineer to translate emerging AI research into practical validation questions, run prototypes and benchmarks, and inform architecture and delivery teams.

You will interpret results with methodological rigor and collaborate across research, engineering and business units. The role focuses on credible AI advances, cross‑functional collaboration and reusable test assets, with no production systems responsibility and opportunity for

Qualifications

  • 3+ years of experience in applied AI research, AI engineering or ML research.
  • Strong programming skills with hands-on AI/ML experimentation, benchmarking and evaluation.
  • Reading research and technical claims critically and translating them into practical experiments.

Responsibilities

  • Monitor AI research, publications, benchmarks and model documentation; identify developments for practical testing.
  • Translate research insights into validated experiments with baselines and success criteria.
  • Run prototypes, benchmarks and comparisons across LLMs, RAG, agentic AI and responsible-AI evaluation.

Skills

Python programming
AI experimentation
LLMs / Generative AI
Cloud platforms (Azure / GCP / AWS)
Research interpretation

Education

Bachelor's degree or equivalent practical experience
MSc or PhD in AI / ML / CS (advantage)

Tools

Azure
GCP
AWS

Job description

Location: Krakow, Lesser Poland, Poland

Job ID: R0147165

Date Posted: 2026-10-15

Company Name: HITACHI ENERGY SERVICES SP. Z O.O.

Profession (Job Category): General Management

Job Schedule: Full time

Remote: No

The opportunity

Bring research discipline to practical technology validation, so that Hitachi Energy can distinguish credible AI advances from hype before it invests. As AI Research Engineer in the Technology Validation team, part of Hitachi Energy's Data, Analytics & Artificial Intelligence (DAAI) organization, you interpret emerging AI research, methods, models and evaluation approaches, turn the most relevant developments into practical validation questions and answer them through prototypes, benchmarks and comparisons. Your evidence informs architecture, platform and delivery teams. The team builds to learn and demonstrate, not to operate production systems.

How you will make an impact
  • Monitor and interpret AI research, publications, benchmarks and model documentation. Identify developments that merit practical testing.
  • Translate research insight into concrete validation questions and fair experimental designs, with explicit baselines, success criteria and the conditions that would invalidate the hypothesis, together with the AI Experimentation Engineer and AI Opportunity Lead.
  • Run research-led prototypes, benchmarks and comparisons across LLMs, RAG, agentic AI, fine-tuning and responsible-AI evaluation.
  • Interpret results with methodological rigor and state the limitations clearly. Recommend a proportionate next step: stop, keep watching, test further or hand over to the team that should build it.
  • Exchange methods and learnings with Hitachi Group colleagues, DAAI peers, vendors and external research communities.
  • Preserve reusable methods, benchmarks and test assets so that work is not repeated.
Your background
  • A genuine passion for AI: you try new tools and models on your own initiative and can show a recent example of something you built or tried.
  • 3+ years of experience in applied AI research, AI engineering or ML research, in a company, consultancy or research institution.
  • Strong programming skills (Python preferred) with hands-on AI/ML experimentation, benchmarking and evaluation. You know LLMs, generative AI, fine-tuning, RAG, agentic AI and responsible-AI evaluation. Familiarity with cloud AI platforms (Azure preferred, GCP or AWS) is an advantage.
  • Ability to read research and technical claims critically and translate them into practical, enterprise-relevant experiments.
  • Clear communication of research-level topics and their limitations. You have experience collaborating across research, engineering and business communities.
  • Bachelor's degree or equivalent practical experience and fluent English. An MSc or PhD in AI, machine learning or computer science is an advantage when combined with practical work.
The final offer

The final offer will be based on candidate location, skills and qualifications, experience, and aligned with internal pay structures. This role may be open in multiple locations. If the salary information listed is not applicable for your current home location, salary details relevant to your location will be discussed with you at a later stage.

Our benefit offering is tailored based on your country of employment and generally includes:
  • Competitive salary and incentives
  • Well-being and care
  • Paid and unpaid leave
  • Flexible work options
  • Benefits that support your financial security
Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with

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