AI Engineer, Landbot
Agentic Systems & Backend
€60-75k
Chatbot builder
Be an early applicant
Chatbot builder
21-100 employees
Be an early applicant
€60-75k
21-100 employees
Company mission
To help companies to create conversational experiences so they can boost customer engagement with human conversations, at scale.
Role
Who you are
- We are especially interested in engineers who have grown from a strong backend background and have progressively specialised in applied AI and LLM-based systems
- Proven hands-on experience shipping LLM-powered features or systems to production, beyond prototypes or internal demos
- Experience with modern LLMs and providers (OpenAI, Anthropic, Google, and/or open-source models), including their trade-offs in quality, latency, and cost
- Hands-on experience with Agentic architectures and workflows, Context Engineering and Retrieval-Augmented Generation (RAG)
- Practical understanding of the full lifecycle: experimentation → evaluation → deployment → monitoring
- Experience designing evaluation frameworks for LLM systems
- You have a strong background in developing and maintaining decoupled backend systems
- Comfortable operating in ambiguity and shaping problems, not just solving predefined tasks
- Product-minded: you care about real users and real outcomes
- You are fluent in English and Spanish
- Eligibility to work in Spain
What the job involves
- 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
- 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
- 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
- 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
Application process
- HR interview (30 min) - We know each other, we know your concerns, validate details and experience and we tell you more about Landbot
- Interview with Engineering Director (45 min) - Initial interview to get to know each other. We will check your background and product mindset and you will see if we are a good fit for you!
- Interview with the team (120 min) - You'll meet members of our team to go deeper into your technical experience, how you approach problem-solving, system design and architecture decisions, as well as how you collaborate with others to deliver solutions. It's a two-way conversation, so feel free to ask about our challenges, tech stack, and ways of working
- Meet the Founders (30 min) - Final conversation to ensure alignment on vision and values
Our take
Chatbots have been around for quite some time and have seen a few iterations over the decades. But chatbots can require heavy coding which is costly, time consuming and can only be executed by professionals. There was also a huge gap between user expectations and reality.
Landbot had the idea to create a drag-and-drop style bot-builder that doesn’t require coding to support custom conversation flows. This quickly proved to be popular with customers, and the company have grown exponentially, being trusted by thousands of leading businesses including Coca-Cola, Nestle and Prudential.
Back in 2021, Landbot acquired Morph.AI, a chat-based marketing automation tool based in India. This supported its expansion into the Asian market, as the company aims to secure a position for itself against competition from other players like ManyChat.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2021
$7.5m
SERIES A
Jul 2018
$2.2m
SEED
Total funding: $9.7m
Company benefits
- Great culture & working atmosphere
- Live and work in sunny Barcelona
- Hybrid culture
- Friday happy hours and after hour weekly team meetings
- Flexible holidays so you can take time off when you need it
- Bonus transport tickets, educational content and all you need to feel empowered
- Referral Bonus if you bring other talented people like you
- MacBooks are our standard, but we’re happy to get you whatever equipment to get your job done
Leadership
Cris Villar
(Founder & VP of CS/Sales)Executive Member of Pavilion. Was COO & Co-Founder of Yexir and Helloumi and CEO & Co-Founder of Lanzadera.
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