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:
LLM integration and deployment (Hugging Face, open-source models, LLM APIs, etc.)
Machine learning frameworks (PyTorch, vLLM, scikit-learn)
Cloud platforms, specifically AWS services
GitHub/GitLab workflows and Git version control
CI/CD pipeline design and implementation (GitLab CI, GitHub Actions)
DevOps practices and QA automation
Experience Requirements
Participated in multiple large-scale product projects across different domains
Deep understanding of complete software product lifecycle (planning, development, testing, deployment, maintenance)
Track record of shipping production AI/ML applications
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
Strong communication skills for technical and non-technical audiences
Preferred Qualifications
Additional Technical 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 with distributed systems and microservices architecture
Relocation Supported:

Work arrangement
No