Fujitsu is seeking an experienced AI Agent Developer to design and implement intelligent agent systems. This role involves developing and deploying AI-driven agent systems using modern frameworks and tools. The ideal candidate will have expertise in Python/Java and experience with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Location: Bangalore
Location Flexibility: Primary Location Only
Req Id: 8860
Posting Start Date: 6/9/26
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/
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Key Responsibilities
- Develop and deploy AI-driven agent systems using modern frameworks and tools.
- Design and optimize NLP workflows, LLM-based solutions, and prompt engineering strategies.
- Integrate AI models with REST APIs and microservices for scalable applications.
- Collaborate with cross-functional teams to deliver high-quality, production-ready solutions.
- Stay ahead of emerging AI trends and contribute to research-driven innovation.
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- Proficiency in Python/Java and experience with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, FastAPI, Flask and associated SDKs
- Familiarity with LLM APIs (OpenAI GPT models, Anthropic Claude, Meta Llama, Google Gemini, etc.).
- Experience working with vector databases (Milvus, Chroma).
- Experience with AI agent/MCP server development
- Good understanding of prompt engineering, RAG pipelines, and context retrieval.
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker).
- Experience with version control (Git) and CI/CD for AI applications.
- Familiarity with LangGraph, CrewAI, or multi-agent frameworks is a plus.
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