At a Glance
- Tasks: Architect and implement cutting-edge AI systems and workflows.
- Company: Join a leading tech company in Sheffield with a focus on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: Strong skills in full-stack engineering, Java, and React development.
The predicted salary is between 40000 - 50000 £ per year.
The key responsibilities will cover:
- Architect and implement/maintain agentic systems, autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning.
- Implement LLM observability, logging, tracing, evaluation pipelines, and guardrails to maintain quality and reliability in production AI systems.
- Advise on responsible AI deployment, including output validation, human-in-the-loop design, and risk mitigation for agentic workflows.
Technical Skills & Experience
- Full-Stack Engineering
- Strong proficiency in Java / Spring Boot
- REST APIs, event-driven services, security, and performance optimisation
- Solid React development skills and API integration
- Experience with relational and in-memory databases (PostgreSQL, Redis)
- Messaging and streaming platforms (Kafka, or equivalent)
Engineer in Slough employer: Teksystems
At TEKsystems, we pride ourselves on fostering a dynamic and inclusive work culture that empowers engineers to innovate and excel in their roles. Located in Sheffield, UK, our team enjoys access to cutting-edge technology and collaborative projects, alongside opportunities for professional growth and development within a global network. With a strong focus on responsible AI deployment and a commitment to quality, we offer a rewarding environment where your contributions truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the engineering field, attend meetups, and join online forums. 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 projects, especially those involving Java, Spring Boot, and React. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common engineering questions and scenarios related to agentic systems and AI deployment. Practising with a friend can help you feel more confident and articulate during the real deal.
✨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 Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Engineer role. Highlight your experience with Java, Spring Boot, and any relevant projects that showcase your full-stack engineering skills. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI systems and how your skills align with our needs. We love seeing genuine enthusiasm for the role, so let your personality come through!
Showcase Relevant Projects:If you've worked on projects involving autonomous agents or multi-agent pipelines, make sure to mention them! We’re keen to see examples of your work that demonstrate your technical skills and problem-solving abilities.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Teksystems
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Spring Boot, and React. Brush up on your knowledge of REST APIs and event-driven services, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've implemented or maintained complex systems. Think about how you’ve tackled challenges in agentic workflows or multi-agent pipelines, and be ready to explain your thought process.
✨Understand Responsible AI Deployment
Since the role involves advising on responsible AI deployment, be prepared to discuss concepts like output validation and human-in-the-loop design. Familiarise yourself with risk mitigation strategies for AI systems to demonstrate your awareness of ethical considerations.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s projects and values. Inquire about their approach to LLM observability or how they ensure quality and reliability in production AI systems.
