AI Engineer – Agentic Systems & Backend

Landbot is an AI Agent Builder that enables companies to design and deploy conversational experiences across multiple channels.

Our platform empowers teams to build tailored AI agents that can understand context, reason, make decisions, and act — responding like the best employee in the company, or even better, the best possible one for each customer and use case.

We work with companies across Lead Generation, Sales, Customer Support, and GTM operations, helping them move from scripted chatbots to intelligent, autonomous agents that deliver real business impact.

Landbot is product-driven, engineering-led, and globally distributed, with a strong focus on quality, ownership, and long-term thinking.

About the team

• Human-first: Empathy, respect, and diversity as drivers of innovation.

• Unity: Trust, psychological safety, and continuous improvement as teams of teams.

• Adaptability: Curiosity, constant learning, and just enough process to stay agile.

• Customer-centric: Value first; progress measured by real impact, not vanity metrics.

• Collaboration: One team, shared decisions, and early draft culture.

• Trust & commitment: Open debate, then full support once decisions are made.

• Challenging mindset: Question assumptions and the status quo to keep evolving.

• You’ll work closely with backend, AI, product, and design teammates.

• Small, senior teams with high ownership and autonomy.

• Strong focus on impact, quality, and learning.

We are looking for a senior-level engineer who combines strong backend engineering expertise with hands-on experience building LLM-powered systems, to help us define, design, and build the next generation of agentic AI systems at Landbot.

At Landbot, we believe conversational AI should feel less like software and more like working with the best person in the company — or even better, the best possible person for every question, every customer, and every moment.

This role is not about demos or prototypes. It’s about turning that vision into reliable, scalable, production-grade systems that power real customer interactions at scale.

What You’ll Do

• Co-define Landbot’s technical vision for agentic systems: autonomous agents, multi-agent collaboration, planning, decision-making, and execution.

• Translate high-level product and business problems into concrete agentic architectures and system designs.

• Act as a technical reference for agentic patterns, trade-offs, and best practices across teams.

• Design and build production-grade agentic systems

• Context engineering and memory strategies

• Tool use and function calling

• Planning, reasoning, and decision-making loops

• Multi-agent collaboration and coordination

• Integrate LLMs into backend systems with clear APIs, contracts, and failure modes.

• Evaluation, reliability, and observability

• Design and implement LLM evaluation systems

• Instrument agentic systems with strong observability: tracing, logging, debugging, and cost monitoring.

• Build guardrails, safety mechanisms, and fallback strategies to ensure predictable behavior in production.

• Backend engineering excellence:

• Design scalable backend architectures to support AI workloads at scale.

• You’re comfortable working with complex backend stacks and architectural approaches (e.g., Domain-Driven Design), knowing when to leverage them to bring clarity and scalability—and when to avoid dogmatic application that slows delivery.

• Build and maintain APIs, services, and data pipelines that power AI agents.

• Make thoughtful trade-offs between performance, reliability, cost, and speed of iteration.

• Ensure systems are testable, maintainable, and secure.

• You have a strong background in developing and maintaining decoupled backend systems

• Mentor and guide other engineers working on AI and backend systems.

• Participate in architectural reviews and help raise the bar for engineering quality.

• Collaborate closely with Product, Data, and Design to turn ideas into shipped value.