DevSecOps Engineer – AI – Göteborg

Join an innovative team as a DevSecOps Engineer and play a key role in shaping the future of software development. This dynamic position offers the opportunity to work at the intersection of DevSecOps and Artificial Intelligence (AI), helping to integrate cutting-edge technologies to boost developer productivity, enhance code quality, and ensure robust security standards.

Responsibilities:

As a DevSecOps Engineer, you will focus on how AI can be leveraged to streamline the development process. Your work will involve the exploration and implementation of AI-driven solutions to improve software development practices, particularly around building Proof of Concepts and evaluating AI tools and frameworks. You will be instrumental in designing, testing, and integrating AI-powered workflows into software development pipelines. This highly exploratory role offers a chance to work with advanced AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agent workflows.

Key tasks include:

– Designing, building, and testing Proof of Concepts for AI-driven development tools.

– Exploring and integrating AI technologies like LLMs and RAG systems into development processes.

– Developing workflows using LangChain or other agentic frameworks to automate tasks and improve development efficiency.

– Ensuring that AI solutions align with security and code quality standards.

Your Background:

You are passionate about AI’s transformative power in software development and eager to contribute to creating innovative solutions that push the boundaries of what’s possible. While practical experience with AI tools is an advantage, your ability to experiment and explore new AI concepts is just as important. You have a mix of software development skills and an enthusiasm for AI integration, particularly in enhancing productivity and securing code quality.

Your experience might include:

– Working with AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

– Implementing and evaluating LLM fine-tuning, prompt engineering, and system optimization techniques.

– Building RAG systems, integrating LLMs with vector databases, and creating efficient retrieval strategies.

– Developing autonomous agents or workflows that integrate AI to automate and optimize tasks in software development.

Desired, but not mandatory qualifications:

– Experience with distributed computing, APIs, and microservices architecture.

– Understanding ethical AI practices and privacy-preserving techniques.

– Contributions to open-source AI/ML projects.

– Familiarity with cloud platforms, particularly Azure, and experience with Azure DevOps, CI/CD pipelines, and GitHub Actions.

– A solid understanding of DevSecOps, including security practices, code quality tools, and network configurations.

Key Skills:

– Proficiency in Python, Java, or C++ (Python preferred).

– Experience with LangChain or similar frameworks for building autonomous workflows.

– Hands-on experience with AI models and RAG systems.

– Understanding of AI-driven tools, security, and DevSecOps principles.

We Offer:

– A vibrant, multicultural work environment focused on continuous innovation.

– Opportunities to explore and work with cutting-edge AI technologies.

– A dynamic role in shaping the future of development tools and security standards.

Apply now and become a part of a groundbreaking team that is transforming the landscape of software development with AI.