Senior AI Software Engineer _ MVP Development

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Location:

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Role Purpose

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.

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.

Leadership & Collaboration

• 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)

• Strong programming skills in Python, C++, and JavaScript/React.
• 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.

Essential Soft Skills

• 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.

This job description is not exhaustive and may be subject to change. The successful candidate will be a highly motivated and skilled individual with a passion for AI software development and a commitment to delivering high-quality results.

Note: There will be a 90 min pre-test before the interview.