At a Glance
- Tasks: Prototype AI agents and workflows to solve real customer problems quickly.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy flexible hybrid work, a supportive community, and opportunities for personal growth.
- Other info: Great chance to mentor others and lead design discussions while growing your career.
- Why this job: Make a tangible impact with cutting-edge AI technology in a fast-paced environment.
- Qualifications: 4-8 years in software/AI engineering with strong Python skills and production experience.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an AI Engineer with a builder’s mindset to bring cutting‑edge AI agents and workflows into production for IFS Nexus Black. You’ll turn ambiguous customer problems into working prototypes in days or weeks, iterate in the field, and scale the winners into reliable products.
You will work across the stack—prompting, tools, retrieval, evaluation, guardrails, and backend services—collaborating closely with product, design, and data engineering. Expect high autonomy, direct exposure to customers, and a fast loop from idea to demo to production.
Key Responsibilities- Rapidly prototype AI agents and guided workflows that solve concrete customer problems; ship thin slices, instrument, and iterate with real usage.
- Design and implement cloud-native backend services that orchestrate prompts, tools, retrieval, and automations; own the path from POC to production.
- Build robust retrieval for LLMs (search/vector pipelines, context assembly, tool selection) in partnership with data engineering.
- Establish evaluation loops: offline/online tests, golden sets, regression checks, and human‑in‑the‑loop review to measurably improve quality and safety.
- Contribute to developer experience: reusable agents/tools, SDKs, templates, and internal documentation that speed up future builds.
- Collaborate with customers and internal stakeholders to frame problems, define success metrics, and translate insights into productizable solutions.
- Lead design discussions and code reviews; mentor teammates and raise the quality bar while keeping momentum high.
- 4–8+ years as a software/AI engineer, including shipping 0→1 products or features in startup‑like environments.
- Strong in Python (and comfortable with TypeScript); able to build production services and integrate with external systems/APIs.
- Proven experience taking LLM/agent systems to production (tool use, function calling, planning/exec, retrieval‑augmented generation).
- Hands‑on with evaluation (offline/online), prompt engineering, tracing, and observability for AI systems.
- Familiarity with vector databases/search, embeddings, and context/retrieval patterns; pragmatism about when/what to index.
- Solid backend fundamentals (services, queues, data models, CI/CD, cloud) and a bias to automate what you repeat.
- Excellent communication and product sense—able to turn fuzzy business problems into clear technical plans and measurable outcomes.
- Fast mover: comfort with ambiguity, crisp prioritization, and the judgment to ship small, safe increments quickly.
- Nice‑to‑have: open‑source contributions, hackathon wins, or a portfolio of shipped side projects; experience at both an early‑stage startup and a larger‑scale system.
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
AI Engineer - Nexus Black employer: IFS
At IFS Nexus Black, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our flexible hybrid work environment supports diverse lifestyles while fostering a strong sense of community, allowing AI Engineers to thrive in their roles. With ample opportunities for professional growth and direct exposure to customers, you will be empowered to turn your ideas into impactful solutions in a dynamic and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Nexus Black
✨Tip Number 1
Get your hands dirty with some real-world projects! Build a portfolio showcasing your AI prototypes and workflows. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 2
Network like a pro! Attend meetups, webinars, or hackathons related to AI and software engineering. Connecting with industry folks can lead to job opportunities and valuable insights into what companies are really looking for.
✨Tip Number 3
Don’t just apply through job boards—hit up our website directly! Tailor your application to show how your experience aligns with the role of an AI Engineer at Nexus Black. We love seeing candidates who take that extra step!
✨Tip Number 4
Prepare for technical interviews by brushing up on your Python and TypeScript skills. Practice coding challenges and be ready to discuss your past projects in detail. Show us how you’ve turned ambiguous problems into clear solutions!
We think you need these skills to ace AI Engineer - Nexus Black
Some tips for your application 🫡
Show Your Builder's Mindset:When writing your application, make sure to highlight your experience with rapid prototyping and turning ambiguous problems into solutions. We love seeing how you've tackled challenges in the past!
Be Specific About Your Skills:Don’t just list your skills; show us how you’ve used them! Mention specific projects where you’ve implemented cloud-native services or worked with LLMs. This helps us see your hands-on experience.
Communicate Clearly:Your application should reflect your excellent communication skills. Make it easy for us to understand your thought process and how you approach problem-solving. Clear, concise writing goes a long way!
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!
How to prepare for a job interview at IFS
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and TypeScript, as these are crucial for the role. Brush up on your experience with LLMs and agent systems, and be ready to discuss specific projects where you've taken products from concept to production.
✨Showcase Your Prototyping Skills
Prepare to talk about how you've rapidly prototyped AI agents or workflows in the past. Have examples ready that demonstrate your ability to iterate quickly based on real user feedback and how you’ve turned ambiguous problems into clear solutions.
✨Communicate Clearly and Effectively
Since collaboration is key, practice explaining complex technical concepts in simple terms. Be prepared to discuss how you’ve worked with cross-functional teams and how you’ve translated customer insights into actionable product features.
✨Demonstrate Your Problem-Solving Mindset
Expect questions that assess your ability to handle ambiguity and prioritise tasks. Share examples of how you’ve tackled fuzzy business problems and the methods you used to define success metrics and measure outcomes.
