At a Glance
- Tasks: Architect and maintain cutting-edge autonomous systems and workflows.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Strong Java/Spring Boot skills and experience with full-stack 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 Sheffield employer: Teksystems
At TEKsystems, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Located in Sheffield, our team enjoys a supportive environment with ample opportunities for professional growth and development, alongside competitive benefits that promote work-life balance. Join us to be part of a global network where your contributions to cutting-edge AI systems will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to fellow engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Java/Spring Boot or React. 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 common engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable before 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 take that extra step to connect with us directly.
We think you need these skills to ace Engineer in Sheffield
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, React, and any relevant projects that showcase your skills in full-stack engineering. We want to see how you fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about responsible AI deployment and how your background aligns with our needs. Keep it engaging and personal – we love a good story!
Showcase Relevant Projects:If you've worked on projects involving autonomous agents or multi-agent systems, 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:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the info you need about the position there!
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, especially Java/Spring Boot and React. Brush up on your 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 autonomous agents or multi-agent pipelines, and be ready to explain your thought process.
✨Understand Responsible AI Deployment
Familiarise yourself with concepts like output validation and human-in-the-loop design. Be prepared to share your insights on risk mitigation strategies for agentic workflows, as this shows you’re not just technically skilled but also ethically aware.
✨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.
