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- Tasks: Design and build AI systems for application security using cutting-edge technologies.
- Company: Join Black Duck Software, a pioneer in application security with a collaborative culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI development and make a real impact in software security.
- Qualifications: BSc/MSc in Computer Science or related field, with strong programming skills and AI experience.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behaviour.
We are seeking an AI R&D Engineer to design, build, and deploy AI based systems in the application security space. This role focuses on the development of AI solutions that perform reasoning, planning, decision-making, and interaction tasks using large language models (LLMs) and multi-agent systems. You will work at the frontier of AI development creating agents that learn from data, communicate with users or other systems, and adapt to complex, dynamic environments.
Key Responsibilities- Design and implement AI solutions using agents, LLMs, planning algorithms, and decision-making frameworks
- Develop agent based architectures that support autonomy, interactivity, and task completion
- Implement best practices for orchestration and observability, monitor performance, conduct evaluations, and implement safety and guardrail mechanisms
- Integrate agents into applications, APIs, or workflows (e.g., chatbots, copilots, automation tools)
- Collaborate with researchers, engineers, and product teams to iterate on AI capabilities
- Optimize AI behaviour and results through feedback loops, reinforcement learning, or user interaction
- Maintain thorough documentation of logic, design decisions, and dependencies
- BSc or MSc in Computer Science, AI/Machine Learning, CyberSecurity, or a related field
- 3+ years of experience building enterprise software applications
- Strong programming skills in Python (or similar) and experience with AI/ML libraries (e.g., LangChain, OpenAI API, Hugging Face, PyTorch)
- Knowledge of application security principles and best practices
- Understanding of agent-based modeling, multi-agent systems, or reinforcement learning
- Experience building applications with LLMs or generative AI models
- Familiarity with API development, backend services, and deployment pipelines
- Ability to work independently and with a team in experimental and fast-paced environments
R&D AI Engineering, Staff Engineer in Belfast employer: Black Duck Software, Inc.
Contact Detail:
Black Duck Software, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R&D AI Engineering, Staff Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or multi-agent systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how they relate to application security.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace R&D AI Engineering, Staff Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the R&D AI Engineering role. Highlight your programming skills in Python and any relevant projects you've worked on, especially those involving AI/ML.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and application security. Share specific examples of how you've tackled challenges in previous roles and how they relate to the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on any AI-based systems or applications, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve LLMs or multi-agent systems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Black Duck Software, Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially around large language models and multi-agent systems. Be ready to discuss specific projects you've worked on that involved these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your experience with AI/ML libraries like LangChain or PyTorch. Practise coding challenges beforehand to boost your confidence!
✨Understand Application Security
Familiarise yourself with application security principles and best practices. Be prepared to explain how your work has contributed to secure software development, and think about how you can integrate security into AI solutions. This will show that you understand the importance of security in the role.
✨Collaborate and Communicate
This role involves working closely with researchers and product teams, so highlight your teamwork and communication skills. Prepare examples of how you've collaborated on projects in the past, and be ready to discuss how you handle feedback and iterate on ideas. This will demonstrate your ability to thrive in a fast-paced environment.
