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Outpost24

AI Software Engineer

Outpost24

AI Software Engineer building production AI services and APIs for Outpost24, a cybersecurity assessment company. Fine-tuning models and integrating AI into products across global teams.

Posted 8/10/2026full-timeKarlskrona • 🇸🇪 SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python and Golang for developing AI services and APIs, with a strong foundation in machine learning and experience in scalable, cloud-native systems. Proven ability to collaborate with cross-functional teams and contribute to architectural decisions while ensuring the reliability and performance of AI-powered systems.

Highest-signal resume keywords
Python DevelopmentGolang DevelopmentMachine Learning OptimizationAI Services DesignCloud-Native Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentData StructuresAlgorithmsSoftware Design PrinciplesMachine Learning FundamentalsModel Fine-TuningVersion Control (Git)AI FrameworksKubernetesAmazon Bedrock
Soft Skills
Problem-SolvingAnalytical SkillsCommunicationCollaborationAdaptability
Certifications & Qualifications
Master's Degree in Computer ScienceBachelor's Degree in Engineering
Industry Keywords
AI ServicesAPIsCross-Functional CollaborationAgile DevelopmentHigh-Availability Systems

Tech Stack

Tools & technologies
CloudCyber SecurityGoKubernetesPython

About the role

Key responsibilities & impact
  • Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications
  • Implement solutions in Python supported by Golang
  • Design, build, and maintain production-grade AI services and APIs used across the organization
  • Support the organization with AI expertise, guidance, and troubleshooting
  • Fine-tune, evaluate, and optimize machine learning and LLM-based models for real-world use cases
  • Collaborate with internal teams to integrate AI capabilities into products and systems
  • Conduct technical investigations and small-scale research into new AI techniques and tools
  • Contribute to internal practices, coding standards, and architectural decisions
  • Ensure reliability, scalability, and performance of AI-powered systems in production
  • Participate in architectural discussions and propose innovative solutions
  • Conduct code reviews and provide constructive feedback
  • Identify and troubleshoot software defects and performance issues

Requirements

What you’ll need
  • Master or Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 5+ years of software development experience
  • Experience in scalable, cloud-native, high-availability systems such as Kubernetes is a plus
  • Solid understanding of data structures, algorithms, and software design principles
  • Proficiency with Git or other version control systems
  • Familiarity with Agile development methodologies
  • Excellent problem-solving and analytical skills
  • Solid understanding of machine learning fundamentals and hands-on experience with modern AI frameworks is a plus
  • Experience working with LLMs, vector databases, embeddings, or model fine-tuning
  • Experience working with Amazon Bedrock or similar vendors is preferred
  • Proficiency in Python or similar languages used in AI development
  • Strong communication and collaboration abilities in English
  • Ability to thrive in a fast-paced, dynamic work environment
  • Personal values aligned with trust, respect, adaptability, and commitment
  • Cybersecurity experience is a plus, but not a requirement

Benefits

Comp & perks
  • A flat organizational structure and lots of autonomy
  • Steep learning curve
  • Tangible impact of contributions
  • Regular performance conversations focused on development, career progression, and self improvement
  • Fun socials
  • Great perks
  • Collaborative environment
  • Healthy work-life balance
  • Flexibility
  • Hybrid working environment (3 days in office)
  • Diverse and inclusive workplace
  • Team environment with employee voice and trust