Agentic AI Intern

Location :

Santa Clara, California, United States

Job ID : R0106425

Date Posted : 2025-09-22

Company Name :

HITACHI AMERICA, LTD.

Profession (Job Category) :

Administration & Facilities

Job Schedule : Full time

Remote : No

Job Description :

Generative & Agentic AI Systems Internship , Spring 2026

Company : Hitachi America, Ltd.

Division : Research & Development (R&D) | Industrial AI Lab

Location : Santa Clara, CA

Status : Intern

Duration : 3+ months (January - March 2026; eligible for extension)

About Hitachi, Ltd.

Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors - Digital Systems & Services, Energy, Mobility, and Connective Industries - and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at www.hitachi.com.

Summary

Hitachi America, Ltd. () has openings for Interns in the Industrial AI lab located in Silicon Valley. The mission of this team is to help create new and innovative solutions that utilize artificial intelligence and advanced analytics of the Industrial Internet of Things (IIoT). The IT innovation team focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel AI solutions, leveraging Hitachi's technologies, reinforcing Hitachi's messaging around big data, and establishing Hitachi as a leader in Industrial AI.

Role Overview

We are seeking a highly motivated intern with a strong foundation in AI and systems engineering to contribute to the development of a next-generation Generative and Agentic AI systems . This role sits at the intersection of artificial intelligence, autonomous agents, robotics, and multi-modal intelligence. You'll work closely with cross-functional teams to prototype intelligent systems that interact with the physical world.

Responsibilities

Collaborate with research scientist scientists, ML engineers, and product teams to define and develop AI agents for real-world tasks involving physical systems (e.g., drones, mobile robots) and digital environments.

Build system components that integrate with REST APIs and robot middleware (e.g., ROS), supporting real-time interaction between agents and the physical world.

Develop tools to support the prompt engineering lifecycle, including prompt libraries, scoring metrics, and agent orchestration frameworks.

Design, test, and refine high-performance prompts and instructions for instruction fine-tuning pipelines.

Lead or support the full data lifecycle for instruction fine-tuning , including identifying task objectives, collecting and curating datasets, generating synthetic data when needed, and evaluating fine-tuned models for performance and safety.

Support multi-modal model development and deployment, focusing on integration with sensor data, vision models, and action plans.

Contribute to discussions on AI safety, bias, and ethical considerations in autonomous and generative systems.

Maintain technical documentation and provide internal training / support on best practices.

Qualifications

PhD candidate in Computer Science, Robotics, AI, Machine Learning, or a related field.

Strong understanding of deep learning theory, including transformer-based architectures and fine-tuning methods.

Familiarity with the instruction fine-tuning lifecycle : data collection, dataset curation, model training, and evaluation.

Conceptual knowledge of agentic AI , including task planning, memory, and autonomous reasoning (LangChain, OpenAgents, AutoGPT, CrewAI, etc.).

Experience with Python, Jupyter Notebooks, REST APIs, and collaborative tools like GitHub and Markdown.

Exposure to multi-modal AI (e.g., language-vision models, audio-text systems) and sensor data integration.

Practical experience with robotics frameworks (e.g., ROS, PX4), simulation tools (e.g., Gazebo, Isaac Sim), or embedded systems is a strong plus.

Understanding of reinforcement learning (RL), including policy learning and environment-agent interaction, is a bonus.

Nice-to-haves

Contributions to open-source agentic or generative AI projects

Publications or technical blog posts in AI or robotics domains

Familiarity with NVIDIA, Hugging Face, and Azure ML model deployment pipelines

Benefits

Opportunity to work on cutting-edge Generative AI technology and contribute to the development of innovative solutions.

Exposure to a diverse range of Generative AI use cases and the chance to learn from industry experts.

Competitive compensation and the potential for career growth within a dynamic and fast-paced environment.

Collaborative and supportive team culture that encourages continuous learning and professional development.

If you are passionate about Generative AI, have a strong background in research and engineering, and are eager to join a team that is pushing the boundaries of what's possible with AI, we encourage you to apply for this exciting role.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn't impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit :

Wa - Harmony, Trust, Respect

Makoto - Sincerity, Fairness, Honesty, Integrity

Kaitakusha-Seishin - Pioneering Spirit, Challenge

For California only (as required by California's Pay Transparency for Pay Equity Act (SB 1162) : The expected hourly rate for this position in our California office is $45 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America's variable pay program, subject to the program's conditions and restrictions.

Equal Opportunity Employer (EOE)-Females / Minorities / Protected Veterans / Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to accommodation@hal.hitachi.com. Queries other than accommodation requests will not be responded to.