Software Developer

We are seeking a highly skilled and collaborative 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.

Cloud Infrastructure & DevOps

• 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.

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.
• Strong programming skills in Python/C++.
• 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.

Preferred Qualifications

• Programming skills in JavaScript/React.
• 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