Senior Software Engineer

PanAgora Asset Management is focused on transforming financial lives by providing a flexible work environment. They are seeking a Senior Software Engineer to develop and expand their agentic AI capabilities aimed at improving the Software Development Lifecycle (SDLC).

Responsibilities:

• Design, build, and enhance GenAI-powered solutions that facilitate and accelerate SDLC workflows (e.g., code transformation, unit and integration testing, automation, quality improvements)
• Work with and evaluate agentic AI frameworks such as Claude Code, LangChain, Strands, and similar platforms, recognizing different problems may require different architectural approaches
• Build solutions using Model Context Protocol (MCP) to orchestrate tasks across disparate systems and actors using agent-based workflows and orchestration patterns
• Integrate AI agents with enterprise developer tools (e.g., Git-based platforms, CI/CD systems, internal engineering utilities)
• Evaluate AI-generated outputs for correctness, maintainability, performance, and alignment with engineering standards
• Collaborate with engineering teams to identify practical, high-impact use cases for AI within the SDLC
• Apply strong software engineering practices to all AI-enabled systems (testing, versioning, observability, reliability)

Requirements:

• Strong experience as a software engineer, building and delivering production-grade applications or tools
• Deep expertise in at least one modern backend technology stack (Java, Spring, Springboot preferred), with demonstrated ability to adapt across diverse technologies and cloud-native environments
• Demonstrated experience applying Generative AI to real-world engineering problems, particularly within the SDLC
• Hands-on experience working with agentic AI systems, tool-augmented agents, or workflow automation using LLMs
• Experience with modern LLM ecosystems and frameworks (experience with Claude Code strongly preferred; familiarity with Anthropic, OpenAI, GitHub Copilot agents, or similar platforms is valuable)
• Practical experience with Model Context Protocol (MCP) and secure integration patterns
• Experience integrating systems via APIs and working with Git-based repositories and CI/CD pipelines
• Ability to critically assess AI-generated code and automation outputs
• Strong collaboration and communication skills
• Experience designing and implementing full-stack systems with Java, Spring, Springboot, or other Java frameworks
• Experience with code modernization or large-scale refactoring initiatives
• Familiarity with evaluation techniques for LLM or agent performance
• Experience building internal developer tools or automation platforms
• Cloud platform experience (AWS preferred)