Senior Software Engineer

Job Description

Senior Software Engineer

Job Location: Bangalore

Location Flexibility: Primary Location Only

Req Id: 12941

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.

Website: https://www.fujitsu.com/global/about/research/

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.
• …