Software Engineer (AI Automations and Internal Systems) at Zedcrest Capital Limited

JOB SUMMARY

We are seeking a Senior Software Engineer to design and build AI-powered automation systems and internal tools that improve how our teams operate. This role focuses on delivering production-grade systems that reduce manual work, streamline workflows, and support better decision-making.

You will work at the intersection of software engineering and applied AI, building reliable, secure, and maintainable systems used in real business operations. This is a hands-on role for someone who has shipped AI systems to production and actively uses modern AI-assisted development tools to deliver faster and better outcomes.

RESPONSIBILITIES

• Design and build internal automation systems powered by AI
• Develop agentic workflows capable of executing multi-step tasks with minimal human intervention
• Integrate LLMs and other AI services into production systems responsibly
• Build software services that support internal automation
• Partner with product and operations teams to identify high-impact automation opportunities
• Ensure systems are reliable, observable, secure, and cost-efficient
• Monitor, evaluate, and improve AI system performance over time
• Document systems and best practices for internal use
• Contribute to engineering standards and architectural decisions

REQUIREMENTS

• Bachelor’s Degree in Computer Science, Engineering, or another related field
• 5+ years of professional software engineering experience
• Proven production experience building and deploying AI/LLM-powered systems
• Strong hands-on experience using agentic coding tools (e.g., Claude Code, GitHub Copilot, similar) as part of daily development workflows.
• Practical experience integrating LLM APIs, embeddings, or ML services.
• Hands-on experience working with agent frameworks (e.g., Microsoft Agent Framework, LangChain, or similar) in real-world applications.
• Leverage low-code and no-code automation platforms where appropriate, while ensuring scalability, governance, and maintainability.
• Understanding of prompt design, evaluation, and guardrails.
• Experience managing latency, reliability, and cost in AI systems.
• Ability to critically review and validate AI-generated code.
• Strong backend development skills – .NET, Python, Typescript (optional).
• Ability to own solutions end-to-end.