Zedcrest Capital is a privately-funded investment firm with interests in Fixed Income Securities Trading and Proprietary Investments across varied sectors of the productive economy. In every venture we are invested in, we are steadfastly committed to putting our clients’ interests first. This fiduciary responsibility defines our relationship with clients and informs the basis of every decision we make. This core principle is the foundation of our business as we work to provide value to all our stakeholders.
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.
Method of Application
Signup to view application details.
Signup Now
.png)
