AI & Automation Solutions Developer
Fujitsu
Bangalore Urban, Karnataka, IndiaFresher26m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Stakeholder managementTroubleshootingLLMsHelp deskAgileREST APIs
- Nice to have
- AWS
- Work
- On-site in Bangalore Urban
- Pay
- Not stated by the employer.
- Skill demand
- LLMs51%Stakeholder management32%Troubleshooting23%Help desk3%of 100 similar fresher jobs posted in India this week
- Listed
- 13 Nov 2026 · still open
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About the Role
Fujitsu is seeking a motivated Solutions Developer to join their Product team. This role focuses on developing, enhancing, and supporting cloud-based Contact Center and AI solutions built on Amazon Connect and AWS. It is ideal for an early-career engineer interested in problem-solving, software development, cloud technologies, and Artificial Intelligence. The role involves working with senior engineers, solution architects, and product owners to deliver customer-facing capabilities including AI Agents, conversational AI, automation, voice translation, analytics, and core system integrations.
- Role Breakdown:
- 70% Solution Development, Testing & Implementation
- 15% Operational Support
- 10% Solution Design & Technical Learning
- 5% Customer & Stakeholder Collaboration
Key Responsibilities
Solution Development
- Develop, test, implement, and support solutions built on AWS and other Cloud technologies.
- Build integrations between contact center platforms, AI services, ITSM tools, and enterprise applications.
- Assist in delivering AI-powered capabilities including AI Agents, Agent Assist, RAG solutions, translation services, and workflow automation.
- Troubleshoot defects and contribute to continuous improvement initiatives.
- Follow engineering standards, coding best practices, and security guidelines.
AI & Innovation
- Support the development and testing of Generative AI and Large Language Model (LLM) solutions.
- Assist with prompt engineering, knowledge bases, AI orchestration, and conversational AI use cases.
- Contribute to experimentation, prototyping, and evaluation of new AI capabilities.
Testing & Support
- Create and execute unit, integration, and end-to-end tests.
- Support deployment, release, and operational activities.
- Assist in diagnosing and resolving production issues.
- Contribute to technical documentation and support materials.
Collaboration & Learning
- Work closely with Product Owners, Architects, Developers, BAU specialists, and Service desk operational teams.
- Participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and demonstrations.
- Continuously develop technical expertise in AWS, AI technologies, and software engineering practices.
Requirements & Tech Stack
Experience, academic exposure, or strong interest in the following:
- AI & LLM Technologies: Generative AI, AI Agents, OpenAI APIs, Amazon Bedrock, Prompt Engineering.
- Software Development: Python, JavaScript, TypeScript, Java, Node.js, REST APIs, JSON, API integrations.
- Frontend Development: React, Redux Toolkit (RTK), TypeScript, Micro-frontends, Accessibility (A11y).
- Cloud & DevOps: AWS (Amazon Connect, Lambda, S3, Redshift, CloudFormation, CDK), Git, CI/CD, Infrastructure as Code.
- Professional Skills: Problem solving, technical troubleshooting and debugging skills, stakeholder engagement, technical communication, Agile delivery, teamwork, and continuous learning.
- Certifications (desired): AWS Certified Cloud Practitioner or AI Practitioner or Developer – Associate or Solutions Architect – Associate; Agile Fundamentals.
Success In This Role Will Be Measured Through
- Delivery of assigned stories and tasks within agreed sprint timelines.
- Quality and reliability of developed solutions.
- Contribution to successful product and project outcomes.
- Reduction in defects and rework.
- Growth in technical capability and AWS expertise.
- Positive feedback from stakeholders and team members.