Senior Software Engineer

Albert Bow Limited

København

On-site

DKK 700,000 - 950,000

Full time

2 days ago
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Job summary

Albert Bow Limited is seeking a backend engineer to design, build, and maintain production-grade systems powering AI agents in a fast-growing startup. You will own features end-to-end, work directly with enterprise customers to understand requirements, and improve integrations with ERP and email platforms.

The role requires strong Python expertise, willingness to work with Go, and a delivery-focused mindset to ship practical software that scales with business needs.

Qualifications

  • Strong backend software engineering experience, particularly with Python.
  • Experience building, deploying and maintaining production software for real customers.
  • Experience in a fast-paced, early-stage startup environment.
  • Ability to own projects and deliver with minimal management.
  • Comfort operating with ambiguity and proactive decision-making.
  • Delivery-focused mindset toward practical, reliable software.
  • Willingness to work with Go in the web app layer.
  • Experience with production AI systems or agentic applications.

Responsibilities

  • Design, build, and maintain backend systems powering production AI agents.
  • Own features end-to-end from discovery to deployment and iteration.
  • Collaborate with enterprise customers to understand requirements and deliver solutions.
  • Build and improve integrations across ERP, email platforms, and data sources.
  • Develop reliable software that handles real business data and workflows.
  • Contribute to architecture, engineering standards, and startup culture.
  • Work with the founding team to prioritise problems and scale the product.

Skills

Backend engineering
Python
Go
Production software
Startup experience
Ownership
Delivery mindset
AI systems

Job description

You’ll work closely with the founders, take responsibility for technical problem-solving, and collaborate directly with enterprise customers to understand their challenges and deliver practical solutions.

This role is ideal for an engineer who thrives in an early-stage startup, enjoys solving ambiguous problems, and wants to build technology that delivers measurable business value.

A customer-facing mindset is essential. Engineers who can bridge the gap between technical implementation and real-world business operations will be particularly well suited to this opportunity.

Key Responsibilities
  • Design, build, and maintain backend systems powering production AI agents.
  • Own features and technical problem spaces end-to-end, from discovery and architecture through to deployment and iteration.
  • Work directly with enterprise customers to understand requirements and deliver effective technical solutions.
  • Build and improve integrations across ERP systems, email platforms, and operational data sources.
  • Develop reliable software that processes real business data and supports mission-critical workflows.
  • Contribute to the technical architecture, engineering standards, and culture of an early-stage startup.
  • Work closely with the founding team to prioritise problems, make technical decisions, and scale the product.
Required Experience
  • Strong backend software engineering experience, particularly with Python.
  • Experience building, deploying, and maintaining production software used by real customers.
  • Experience working in a startup or similarly fast-paced, early-stage environment.
  • The ability to take ownership of projects and deliver independently without extensive management or established processes.
  • Comfort working with ambiguity, making decisions, and solving problems proactively.
  • A strong delivery mindset, with a focus on building practical, reliable software rather than purely theoretical solutions.
  • Willingness to work with Go, which is used within the web application layer.
  • Experience with production AI systems or agentic applications
Technology Stack
  • Python - primary backend language.
  • Go - web application layer.
  • Production AI agent infrastructure.
  • ERP integrations and operational data systems.
  • Email pipelines and automated business workflows.
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