Senior Embedded Software Application Engineer – AI / LLM / Python

SEGULA Technologies; Göteborgs kommun; On-site; SEK 900,000 - 1,100,000; Full time

Job summary

SEGULA Technologies in Göteborg, Sweden seeks a Senior Embedded Software Application Engineer focused on AI, LLMs, and Python to drive AI adoption across software engineering systems. You will build AI-enabled pipelines, integrate LLMs into workflows, and collaborate with cross-functional teams to tailor the platform to engineering needs, delivering measurable improvements in development efficiency.

We value a Master’s degree, strong Python skills, experience with AI/ML, and excellent English

Qualifications

• Master's degree in CS, Data Science, or Software Engineering.
• Strong programming in Python and software design skills.
• Experience with LLMs or generative AI in real projects.
• Excellent English communication and teamwork.

Responsibilities

• Develop and maintain software pipelines for engineering activities.
• Design AI/LLM-based solutions using Python and traditional software engineering techniques.
• Integrate Large Language Models into engineering workflows and applications.
• Collaborate with teams to configure, adapt, and apply the ML platform to their needs.
• Contribute to architecture, design, testing, and continuous improvement.

Skills

Python

LLMs

Software engineering

Problem solving

English communication

Education

Master's degree

Tools

Docker

Kubernetes

Cloud platforms

DevOps tools

Job description

About The Role

We are looking for a Senior Embedded Software Application Engineer with a strong focus on AI, Large Language Models (LLMs), and Python to join a team driving the adoption of AI across software engineering systems.

About The Role

We are looking for a Senior Embedded Software Application Engineer with a strong focus on AI, Large Language Models (LLMs), and Python to join a team driving the adoption of AI across software engineering systems. The team has established an AI platform that can be configured for different applications, with a primary focus on improving software development efficiency. In this role, you will develop software pipelines and solutions that assist or automate engineering tasks by combining conventional software engineering and automation with modern AI and LLM technologies. You will work closely with development teams and stakeholders to identify opportunities where AI can create value, implement solutions, and demonstrate tangible results.

Key Responsibilities

• Develop and maintain software pipelines that support or automate engineering activities.
• Design and implement AI/LLM-based solutions using Python and conventional software engineering techniques.
• Integrate Large Language Models into engineering workflows and applications.
• Contribute to the development and evolution of the AI platform and its applications.
• Collaborate with software development teams to configure, adapt, and apply the machine learning platform to their specific needs.
• Explore new AI technologies and assess their applicability to software engineering challenges.
• Work in an agile environment with a strong focus on delivering and demonstrating implemented solutions.
• Collaborate with internal stakeholders and development teams to understand requirements and translate them into technical solutions.
• Contribute to software architecture, design, development, testing, and continuous improvement.
• Take initiative in identifying opportunities for automation and increased engineering efficiency.

Required Qualifications And Experience

• Master's degree (MSc) in Computer Science, Data Science, Software Engineering, or a related field.
• Strong software engineering and software design skills.
• Excellent programming skills, particularly in Python.
• Professional experience working with Large Language Models (LLMs) and/or generative AI.
• Experience developing software applications, automation, or engineering tools.
• Strong analytical and problem-solving abilities.
• Good verbal and written communication skills in English.
• Strong collaboration and interpersonal skills with the ability to build relationships across development teams.
• A proactive and curious mindset with the ability to explore new technologies and turn ideas into practical solutions.

Desired Skills and Experience

• Familiarity with containerization technologies.
• Experience or familiarity with Kubernetes.
• Knowledge of cloud technologies and cloud-based software development.
• Familiarity with DevOps practices and tools.
• Experience with automotive software development.
• Understanding of automotive systems engineering.
• Experience applying AI or machine learning to software engineering processes.
• Valid Work Visa / Work Permit: Candidates must possess a valid work permit or legal right to work in the relevant country/region at the time of application.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, age, or any other characteristic protected by law. We celebrate diversity and are committed to creating an inclusive environment for all employees. We recruit continuously,

SEGULA Technologies is a global engineering group, boosting the competitiveness of all major industrial sectors: automotive, aerospace, energy, rail, naval, life sciences, and telecoms. With a presence in more than 30 countries and 140 locations worldwide, the Group prioritizes close relationships with its clients, driven by the expertise of its 15,000 employees. As a leading engineering player putting innovation at the heart of its strategy, SEGULA Technologies manages large-scale projects, ranging from initial studies to industrialization and production. SEGULA TECHNOLOGIES is dedicated to gender balance and diversity, recognizing and recruiting talent of all backgrounds.