Senior Software Engineer

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