Senior Software Engineer

Job description

Job Description Senior Software Engineer Job Location: Bangalore Location Flexibility: Primary Location Only Req Id: 10865 Posting Start Date: 8/3/26 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/ **What we are looking for:** We are seeking an experienced **AI Agent Developer** to design and implement intelligent agent systems that leverage the latest advancements in AI and machine learning. This role offers an opportunity to work on cutting-edge product, collaborate with global teams, and innovate in the AI space. **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. **Required Skills:** - 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. Relocation Supported: Yes Visa Sponsorship Approved: No