Senior Software Engineer - AI Augumented Development

Hamsa is building an AI-enabled operating system for global finance through its Unified Ledger, connecting financial institutions and addressing interoperability, privacy, and speed. The company is seeking a highly experienced Senior Software Engineer to build and maintain production-grade backend and distributed systems while using AI-augmented development, LLM-based tools, and agent workflows. The role is a hands-on individual contributor position focused on shipping reliable, scalable, and well-tested software.

Responsibilities:

• Design, implement, and maintain high-quality production code across backend and distributed systems
• Own complex feature development end-to-end, from implementation through production deployment
• Debug, troubleshoot, and resolve issues in large-scale production environments
• Use AI to deliver robust, maintainable, and fully tested software
• Use LLM-based tools and agent workflows daily to accelerate coding, refactoring, and debugging
• Generate and iterate on production code
• Automate test creation and validation
• Support debugging and root-cause analysis
• Improve code review cycles and refactoring speed
• Continuously evolve personal development workflows using AI-native tooling
• Deliver robust, maintainable, and fully tested software
• Improve testing practices, CI/CD workflows, and developer efficiency
• Identify and fix performance, reliability, and scalability issues in existing systems
• Collaborate closely with engineers and product teams to deliver features iteratively
• Participate in code reviews and provide strong technical feedback
• Act as a high-seniority IC contributor embedded within engineering teams

Requirements:

• We are seeking a highly experienced Senior Software Engineer with approximately 10+ years of hands-on software development experience building production-grade systems
• The ideal candidate has spent the last ~2 years deeply engaged in AI-augmented development (“vibe coding”), using LLM-based coding tools, agent-driven workflows, and MCP-style multi-agent systems and posses hands-on Java programming skills and advanced knowledege of Spring
• • 10+ years of hands-on software engineering experience
• • Deep experience building and maintaining production systems at scale
• • Recent (2+ years) hands-on use of:
• • AI coding assistants (LLM-based IDE tools, copilots, agent frameworks)
• • Multi-step agent workflows (MCP-style or equivalent systems)
• • Prompt-driven development, debugging, and refactoring workflows
• • Strong track record of shipping complex systems in fast-moving environments
• • Expert-level coding ability in Java, Spring
• • Strong experience with backend systems, APIs, and distributed systems
• • Strong experience in system design
• • Experience with AWS cloud services (production-grade environments)
• • Strong experience with PostgreSQL (data modeling, performance tuning, querying)
• • Strong understanding of cybersecurity standards and best practices (e.g., secure coding, OWASP principles, authentication/authorization, data protection in distributed systems)
• • CI/CD pipelines, automated testing, and production debugging
• • Comfortable operating in AI-augmented development environments on a daily basis
• • Strong individual contributor who excels at execution and delivery
• • Deep technical curiosity and strong coding craftsmanship
• • Comfortable working in rapidly evolving AI-driven development environments
• • Strong bias toward shipping working software quickly and iteratively
• • Uses AI tools as a core part of daily engineering practice, not as an add-on
• • Experience with financial systems, fintech platforms, trading systems, payments, or other regulated financial environments
• • Experience with developer productivity tools or internal engineering platforms
• • Exposure to high-scale SaaS or distributed enterprise systems
• • Experience training and experimenting with autonomous coding agents or AI workflows
• • Contributions to automation, tooling, or engineering efficiency improvements