Senior Backend Engineer - AI SaaS

Landbot is an AI-first SaaS company building AI Agents that help businesses deliver exceptional experiences to their users.

At Landbot
, we’re building a high-performance team that blends engineering excellence, product mindset, and customer obsession
. We believe quality and speed go hand in hand — and we’re looking for a Senior Backend Engineer to help us scale our platform and deliver real impact.

• Human-first: Empathy, respect, and diversity as drivers of innovation.
• Customer-centric: Value first; progress measured by real impact, not vanity metrics.
• Collaboration: One team, shared decisions, and early draft culture.
• Unity: Trust, psychological safety, and continuous improvement as teams of teams.
• Trust & commitment: Open debate, then full support once decisions are made.
• High performance: Accountability, resilience, and daily improvement.
• Adaptability: Curiosity, constant learning, and just enough process to stay agile.
• Challenging mindset: Question assumptions and the status quo to keep evolving.

As a Backend Engineer
, you will combine hands-on coding with the responsibility of guiding your team’s technical direction and execution.

Your role is to ensure that the solutions we build are scalable, maintainable, and aligned with Landbot’s mission
.

You will act as the captain of the team
:

• Embodying our values, energy, and attitude,
• Translating product requirements into clear technical strategies,
• Fostering engineering excellence and growth in your teammates,
• And keeping the team united, motivated, and focused on building meaningful impact for our users.

You won’t lead by spotlight or authority, but by example, care, and clarity
—helping the team grow week after week, keeping its identity alive, and strengthening its soul.

• Partner with Product to turn business goals into clear technical strategies and plans.
• Guide technical decisions balancing short-term impact with long-term sustainability.
• Design & evolve systems that scale with traffic, data complexity, and AI-driven use cases.
• Write clean, maintainable code while continuously improving practices and quality.
• Mentor and support your team, leading by example in code, reviews, and collaboration.
• Safeguard delivery pace: reduce blockers, manage technical debt, and keep flow sustainable.

• You bring a product engineering mindset
  : your focus is always on building quality features that create real value.
• You think beyond code
  : always asking “Is this important? Does it improve the customer’s life? Does it reduce costs or unlock new opportunities?”
• Stay close to the user
  : deeply understand who they are, their problems, frustrations, and behaviors. Great engineers don’t just write code — they connect technology to real people, ensuring our work creates meaningful impact in the market and in users’ lives.
• You balance speed and quality
  : knowing that quality isn’t the opposite of agility but its foundation.
• You lead through ownership and autonomy
  , ready to make an impact both in the product and in the team.
• You foster collaboration, feedback, and learning, because great teams outperform brilliant individuals.
• Act as a bridge across teams: communicate risks, trade-offs, and timelines with stakeholders in a clear, constructive way.
• Manage technical debt
  : make it visible, measurable, and actionable, creating structured repayment plans that align with business priorities.

• You’re fluent in modern backend stacks (e.g.,
  Node.js, Type Script, Python
  ) and have experience with relational databases (
  Postgres, MySQL
  ) as well as No
  
  SQL systems like Redis, MongoDB
  .
• 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.
• Passionate about testing everything
  : unit, integration, performance, quality is your compass.
• You’re curious about how to bring AI models into production systems
  , from integrating APIs to optimizing performance and reliability.
• Experience with AI/ML APIs, vector databases, or data pipelines is a plus, but above all you bring a mindset of building…