Software Engineer

Job Description

Software Engineer

Job Location: Bangalore

Location Flexibility: Primary Location Only

Req Id: 12030

Posting Start Date: 9/3/26

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 autonomous and result-driven AI Software Engineer to transform cutting-edge research from Fujitsu LAB into production-ready Minimum Viable Products (MVPs). This role requires a versatile engineer who can independently drive the entire software development lifecycle—from understanding high-level product requirements to implementing robust, scalable AI solutions across cloud infrastructure.

The ideal candidate thrives in fast-paced environments with short engineering cycles, can translate abstract requirements into actionable engineering tasks, and has a proven track record of delivering AI/ML products across diverse domains with minimal supervision. 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

• Transform Fujitsu LAB research prototypes and algorithms into production-grade MVPs
• Design, develop, and deploy end-to-end AI/ML applications and services
• Implement and optimize Large Language Models (LLMs) and machine learning pipelines for real-world applications
• Work with advanced AI concepts such as Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.
• Evaluate and test AI models using theoretical ML knowledge and practical frameworks.
• Create scalable data processing pipelines for AI model training and inference

Full-Stack Development

• Build robust backend services using Python and C++ for high-performance AI workloads
• Develop responsive frontend interfaces using React and JavaScript
• Design and implement RESTful APIs and microservices architectures
• Integrate AI models with web applications and cloud services

Cloud Infrastructure & DevOps

• Architect and deploy cloud-based systems using AWS CloudFormation or similar tools.
• Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring
• Implement DevOps best practices and QA automation frameworks
• Manage containerized applications using Docker and orchestration tools
• Optimize cloud resource utilization and cost efficiency

System Architecture & Security

• Design secure system architectures with proper authentication, authorization, and data protection
• Implement encryption, secure API design, and vulnerability management.
• Ensure system reliability through logging, monitoring, and disaster recovery strategies.

Project Management & Collaboration

• Collaborate with product managers, researchers, and cross-functional teams.
• Participate in Agile ceremonies and contribute to sprint planning and retrospectives.
• Mentor junior engineers and foster a culture of knowledge sharing.
• Conduct code reviews and promote best practices across the team.

Version Control & Software Lifecycle

• Manage source code using GitHub/GitLab with proper branching strategies
• Implement semantic versioning and release management practices
• Maintain clean commit history and meaningful pull requests
• Track issues, features, and technical debt systematically

Required Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or related field
• 3-5 years of professional software development experience
• Must have: Completed at least one production deployment of an LLM or machine learning model project

Technical Skills (Must Have)

• Strong programming proficiency in:
• • Python (for AI/ML development, backend services)
  • C++ (for performance-critical components)
  • JavaScript/React (for frontend development)
• Proven experience with: …