Join Hitachi Energy as an Applied AI Engineer and work on projects that have a real impact on communities and society. You will be part of a dynamic team focused on enabling services with greater efficiency and effectiveness.

Company: Hitachi Energy

Role: Applied AI Engineer

Experience:

3–5 years of hands-on experience working on applied AI, machine learning, or AI solution delivery projects

Key Skills:

Python
ML/NLP libraries
LLMs
transformer models
embeddings
enterprise generative AI platforms
Microsoft Azure
Azure OpenAI
Azure ML
Azure Functions
Azure App Service
Azure Kubernetes Service (AKS)
Azure DevOps
Docker/Kubernetes
Azure serverless frameworks

Qualification:

bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related technical field

Role Focus:

Assist in evaluating GENAI for enterprise use cases
Contribute to the development and implementation of agentic AI solutions
Perform basic hallucination checks and output validation
Monitor model performance, drift, and inference quality
Design, refine, and maintain effective prompts
Work closely with automation developers and business teams to understand requirements and deliver AI powered solutions
Contribute to solution architecture discussions
Develop, maintain, and deploy APIs or microservices to expose AI/LLM capabilities

Additional responsibilities:

Write clean, modular, and well documented code following engineering best practices
Participate in code reviews, technical discussions, and sprint-level engineering activities
Follow best practices for testing, version control, CI/CD, and AI model lifecycle management

Other:

Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines
Living Hitachi Energy’s core values safety and integrity
Effective communication and collaboration skills to work with automation teams, developers, and business stakeholders
Proficiency in both spoken & written English language is required

Applied AI Engineer

Skills Required

Description