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- Tasks: Build and operate cutting-edge AI agent capabilities for customer-facing services.
- Company: Join ISx4, a dynamic team at the forefront of AI and cloud computing.
- Benefits: Enjoy a competitive salary, hybrid work flexibility, and professional growth opportunities.
- Why this job: Make a real impact by working on high-profile AI systems with modern practices.
- Qualifications: PhD or Master's in relevant fields and 3+ years of experience in production software.
- Other info: Collaborative environment with ambitious growth plans and global partnerships.
The predicted salary is between 48000 - 84000 £ per year.
ISx4 is a dynamic and innovative team, harnessing the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. Our industry experience helps derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight.
We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business. ISx4 are formal certified partners with Microsoft, AWS, GCP, SAS, IBM and Databricks and have customers & staff located globally. These strategic partnerships allow us to remain vendor-neutral and focused on our core competency area of analytics services delivery. ISx4 have an ambitious hiring plan for the next few years with new hires at all levels to support the strategic growth of the firm.
The Role: We are looking for an AI Engineer to help build and run customer-facing AI agent capabilities in production. You will work in a team of highly skilled engineers delivering reliable, secure, and observable agent-driven workflows. Our orchestration backbone is Akka (Java), deployed on AWS, with top observability/evaluation platform and Postgres + pgvector for retrieval.
This is an engineering-first role: you will focus on distributed systems, orchestration, robustness, and production operations—bringing AI agent components into a dependable runtime.
What You’ll Do:
- Build and operate customer-facing services that incorporate AI agents and tool-using workflows
- Integrate retrieval components using Postgres + pgvector (query patterns, latency considerations, embedding/retrieval flows)
- Instrument, monitor, and improve agent quality using observability tools (quality signals, evaluation/regression tracking, incident triage)
- Engineer for reliability and safety: timeouts, retries, idempotency, graceful degradation, auditability, and secure service integration
- Collaborate with product/engineering stakeholders to translate requirements into robust designs, delivery plans, and runbooks
Must-Have Requirements:
- Eligible and willing to pass relevant background checks
- PhD or Master’s degree in Computer Science / AI / Data Science / Machine Learning / Engineering (or equivalent practical experience)
- At least 3+ years post-graduate experience delivering production software systems and building and operating scalable backend/distributed systems (high-concurrency services, reliability patterns, production operations)
- Strong Java engineering skills and experience with concurrent/distributed systems
- Experience building customer-facing services with high reliability expectations (timeouts, retries, observability, performance)
- Familiarity with AWS fundamentals for deploying and operating services (including security/IAM awareness)
- Strong engineering practices: testing, code review, CI/CD, documentation, and operational readiness
Nice to Have:
- Hands-on experience with Akka in production (actors/streams; reliability patterns such as supervision)
- Python experience (useful for integrating AI/agent tooling and adjacent components)
- Experience with LLM/agentic systems (tool calling, structured outputs, evaluation practices)
- Experience with Arize (or similar ML/LLM observability tooling)
- Experience with Postgres + pgvector and retrieval optimisation
- Security-by-design experience for AI systems (PII handling, prompt injection mitigation, least privilege, audit trails)
What We Offer:
- Work on a state of the art high profile, production AI system with modern runtime and observability practices
- A collaborative Northern Ireland-based engineering team with hybrid flexibility
- Competitive package and professional growth opportunities
Hiring Process:
Final conversation (team fit + security requirements). If you are interested in this role, please email your CV to hr@isx4.com.
A Few Words About ISx4: At ISx4 we are passionate about delivering an AI & Analytics advantage for our customers, be it through understanding your business better, your customers to a deeper level or providing a service to help make your existing operating model run more effectively. We will do this using best practice processes and in a spirit of openness and professional integrity which is part of our core values.
AI Engineer (Agentic Systems) employer: ISx4 Group
Contact Detail:
ISx4 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Agentic Systems)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those connected to ISx4. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and distributed systems. Share it on platforms like GitHub or your personal website. 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 diving deep into the tech stack mentioned in the job description. Brush up on your Java skills, AWS fundamentals, and any relevant tools like Akka or Postgres. Being well-versed in these areas will help you shine during technical interviews.
✨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, it shows you’re genuinely interested in joining the ISx4 team. So, get that CV polished and hit submit!
We think you need these skills to ace AI Engineer (Agentic Systems)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your experience with distributed systems, Java, and any relevant projects that showcase your ability to build customer-facing services.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with AWS and observability tools, as these are key to the role.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to mention them. We love seeing practical examples of your work, especially those involving AI agents or high-reliability systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our innovative team!
How to prepare for a job interview at ISx4 Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, AWS, and Postgres. Brush up on your knowledge of distributed systems and orchestration, as these are key to the role. Being able to discuss your experience with these tools confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building reliable customer-facing services. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you engineered solutions for high-concurrency services and ensured operational readiness.
✨Understand Their Business
Research ISx4 and their approach to AI and analytics. Familiarise yourself with their partnerships and the sectors they serve. This will not only help you tailor your responses but also demonstrate your genuine interest in the company and its mission during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that show your enthusiasm for the role and the company. Inquire about their current projects, team dynamics, or how they measure success in AI agent capabilities. This will reflect your proactive mindset and eagerness to contribute to their goals.
