Location Flexibility: Primary Location Only
Posting Start Date: 10/2/26
Fujitsu’s R&D vision is to create cutting‑edge technologies that support society and prioritize the flow of data. Our five key technologies are essential elements for collecting data from all parts of society, transporting it over ultra‑high‑speed and secure networks, analyzing it with trusted AI, converting it into value, and returning it to society. Central to realizing our strategy and vision are the people behind our R&D initiatives. We strive to foster top‑notch talent in the innovation process by nurturing skilled individuals equipped to advance this cause with originality and dedication.
We are seeking a highly skilled and collaborative Senior AI Software Engineer to lead the development of production‑grade AI solutions within our MVP (Minimum Viable Product) team. This team transforms cutting‑edge research from Fujitsu LAB into scalable, secure, and intelligent software products. The ideal candidate combines deep technical expertise in AI/ML systems with strong software engineering fundamentals and thrives in fast‑paced, cross‑functional environments. The ideal candidate should also be comfortable in working with non‑AI products related to computing, security and quantum software.
Key Responsibilities
AI/ML Product Development
- Translate research prototypes into robust MVPs with real‑world impact.
- Architect and implement AI/ML pipelines, including computer vision, LLMs, and intelligent agents.
- Apply theoretical ML knowledge to evaluate, test, and improve model performance.
- Work with advanced AI concepts such as Retrieval‑Augmented Generation (RAG), AI agents, and prompt engineering.
Software Engineering & System design
- Lead full‑stack development efforts (frontend in React/TypeScript, backend in Python/C++).
- Design scalable microservices and RESTful APIs for AI integration.
- Ensure performance, reliability, and security in system architecture.
- Integrate AI models into cloud‑native applications and services.
- Architect cloud infrastructure using AWS or equivalent platforms.
- Build and maintain CI/CD pipelines for automated testing and deployment.
- Manage containerized applications using Docker and Kubernetes.
- Optimize cloud resources for cost and performance.
- Mentor junior engineers and foster a culture of technical excellence.
- Lead Agile ceremonies and contribute to sprint planning, retrospectives, and reviews.
- Collaborate with researchers, product managers, and global engineering teams.
- Conduct code reviews and promote best practices across the team.
Security & Reliability
- Design secure systems with proper authentication, encryption, and data protection.
- Implement monitoring, logging, and fault‑tolerant strategies.
- Ensure compliance with security standards (e.g., OWASP Top 10).
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or related field.
- 5+ years of professional software development experience.
- Proven track record of deploying production AI/ML or LLM‑based applications.
Technical Skills (Must Have)
- Experience with ML frameworks (PyTorch, scikit‑learn, vLLM).
- Familiarity with LLM integration (Hugging Face, open‑source models, APIs).
- Hands‑on experience with cloud platforms (AWS preferred).
- CI/CD pipeline development and DevOps practices.
- High autonomy: Able to execute complex engineering tasks with minimal technical guidance
- Rapid adaptability: Thrives in fast‑paced environments with short development cycles
- Requirement translation: Can independently convert high‑level business requirements into detailed technical specifications
- Self‑motivated: Strong sense of ownership and accountability
- Problem‑solving: Excellent analytical and debugging skills
Preferred Skills
- Experience with MLOps tools (MLflow, DVC), model serving (FastAPI, TorchServe).
- Knowledge of confidential computing, TEE, and AI security.
- Understanding of hardware acceleration (GPU, TPU).
- Familiarity with performance profiling and A/B testing frameworks.
- Experience in open‑source software development and Agile leadership roles.