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