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- Tasks: Build AI-powered features for threat detection and intelligence in a collaborative team.
- Company: Join a mission-driven company focused on real-world AI applications and innovative solutions.
- Benefits: Enjoy hybrid work flexibility, Mac hardware, generous training budget, and a supportive culture.
- Why this job: Make a real impact while solving complex problems with a fun, low-ego team.
- Qualifications: 8+ years in software/AI engineering, with expertise in ML systems and relevant technologies.
- Other info: Regular US connections and quarterly trips for team bonding.
The predicted salary is between 43200 - 72000 £ per year.
We’re hiring a senior-level AI engineer to help build an AI-first platform from the ground up. If you’re excited by real-world applications of LLMs, real-time intelligence processing, and working with data at serious scale — this is your kind of role.
What you’ll do:
- Architect and ship AI-powered features for threat detection & intelligence
- Build scalable data pipelines, real-time APIs, and microservices
- Integrate and fine-tune LLMs (including RAG and vector search)
- Own core system components, mentor engineers, and lead with impact
What you’ll bring:
- 8+ years in software/AI engineering, with 3+ focused on ML systems
- Python + JavaScript, Transformers, LangChain, vector DBs (e.g. Pinecone)
- MLOps, cloud AI (SageMaker, Bedrock), containerized environments (K8s, Docker)
- Experience building production AI systems that scale and handle sensitive data
The setup:
- Hybrid (Belfast office) with flexibility
- Collaborative, mission-driven team with a low-ego, supportive culture
- Regular connection with US-based colleagues & quarterly trips stateside
- Mac hardware & full remote setup provided
- Generous training budget and a weekly time allocated to learning
If you’re after real impact, complex problems, and a team that genuinely enjoys working together — let’s chat. Submit your CV or reach out on carol@vivatehtalent.com.
Staff AI Engineer employer: ViVA Tech Talent
Contact Detail:
ViVA Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in LLMs and real-time intelligence processing. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current employees or professionals in the AI field, especially those who have experience with scalable data pipelines and microservices. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Showcase your hands-on experience with relevant technologies like Python, JavaScript, and MLOps tools in your discussions. Be prepared to discuss specific projects where you've built production AI systems, as this will highlight your practical skills and problem-solving abilities.
✨Tip Number 4
Prepare to articulate your leadership experience and mentoring capabilities, as the role involves owning core system components and guiding other engineers. Think of examples where you've led projects or teams, as this will resonate well with the collaborative culture they value.
We think you need these skills to ace Staff AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML systems, particularly focusing on the technologies mentioned in the job description, such as Python, JavaScript, and MLOps. Use specific examples of projects where you've built scalable AI systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for building AI-first platforms and your experience with LLMs and real-time intelligence processing. Mention how your skills align with the company's mission and culture.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or experiences. Highlight any work you've done with data pipelines, microservices, or threat detection systems to demonstrate your capability for this role.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors and that your information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at ViVA Tech Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, JavaScript, and the specific AI technologies mentioned in the job description. Bring examples of projects where you've built scalable AI systems or worked with LLMs, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Mission
Research the company’s goals and values, especially their focus on building an AI-first platform. Being able to articulate how your skills align with their mission will show that you’re genuinely interested in the role and the impact you can make.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving real-world problems related to threat detection and intelligence processing. This will not only showcase your problem-solving abilities but also your understanding of the complexities involved in AI systems.
✨Demonstrate Leadership and Mentorship
Since the role involves mentoring engineers and leading projects, be ready to share experiences where you’ve taken on leadership roles. Discuss how you’ve supported team members and contributed to a collaborative culture, which is highly valued in their low-ego environment.
