About Us

We're building the next generation of AI-powered business software. Our Chatbot application brings AI directly into customer and business workflows, combining a robust backend with LLM-powered agents to get real work done through conversation.

This is a chance to work on hard problems in backend systems, LLM agents, and orchestration — building zero-to-one, owning your area end-to-end, and shipping to production at scale.

Note: This is a customer-facing role, and strong communication skills are essential.

About The Role

We're looking for a Lead Software Engineer to help build and scale the backend and AI capabilities of our Chatbot application. This is a backend-heavy role for someone who can design robust, production-grade systems in Java while also bringing hands-on experience building LLM agents and orchestration layers that power intelligent conversational experiences.

What You'll Do

• Design, build, and scale backend services in Java that power the Chatbot application
• Build and integrate LLM-powered agents into the chatbot, including agent orchestration, tool use, and multi-step reasoning workflows
• Own features end-to-end — from architecture and design through implementation, testing, deployment, and iteration
• Drive technical decisions on system architecture, reliability, performance, and scalability for a backend serving real-time conversational workloads
• Lead by example — set engineering standards, review designs and code, and mentor engineers on the team
• Collaborate closely with product, design, and AI/ML teams to translate business requirements into shipped functionality
• Work directly with customers to understand real-world use cases, troubleshoot issues, and gather feedback to inform the roadmap
• Continuously improve the chatbot's conversational quality, reliability, and response accuracy
  
  

What We're Looking For

• 4–6 years of backend engineering experience, with strong, hands-on expertise in Java
• Practical experience building LLM-powered agents and agent orchestration in production systems
• Solid understanding of LLM fundamentals — prompting, tool use, reasoning, and evaluation
• Strong experience designing and building scalable, production-grade backend systems and APIs
• Ability to take technical ownership and lead design/architecture decisions with minimal oversight
• Comfort working in a fast-moving, high-ownership environment, balancing hands-on coding with technical leadership
• Excellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and explain technical solutions