Staff AI Engineer (m/f/d)
Staff AI Engineer (m/f/d)

Staff AI Engineer (m/f/d)

London Full-Time 48000 - 84000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI initiatives and develop scalable solutions for the largest European EdTech player.
  • Company: Join IU, Germany's largest university of applied science, dedicated to making education accessible.
  • Benefits: Enjoy remote work flexibility, 33 vacation days, and free access to e-learning platforms.
  • Why this job: Be part of a dynamic team driving AI innovation in a supportive and diverse environment.
  • Qualifications: Proven experience in AI development, problem-solving, and collaboration with cross-functional teams.
  • Other info: No cover letter needed to apply; we value diversity and inclusivity.

The predicted salary is between 48000 - 84000 Β£ per year.

Join our AI Engineering Team in full-time (40 hrs./week) as Staff AI Engineer (m/f/d). This position is available as a full-time role at our IU office locations or remotely (must reside in Germany or the UK).

In this role, you will take ownership of high-impact AI initiatives, working closely with senior leadership to design and deploy scalable AI solutions for the largest European EdTech player.

Your tasks:

  • Drive AI innovation by leading and implementing AI automation initiatives, including customer service case routing and internal workflow optimization using LLMs (GPT-4, Claude, Mistral), LangChain, AutoGen, and CrewAI.
  • Solve high-impact problems independently, developing AI-native applications and deploying LLM-based architectures with FastAPI, Python, and cloud-based deployments (AWS/GCP/Azure) to significantly reduce engineering time and effort.
  • Lead AI-powered automation efforts, integrating LLMs with external APIs (OpenAI, Anthropic, Hugging Face), databases (PostgreSQL, Pinecone, Weaviate, ChromaDB), and business logic to improve operational efficiency.
  • Develop scalable and cost-efficient AI systems, optimizing LLM inference pipelines with vLLM, DeepSpeed, LoRA, and FSDP, and implementing best practices for AI observability, safety, and monitoring (Guardrails AI, Prometheus, Grafana, LangSmith).
  • Foster collaboration and AI adoption, working closely with the CTO, senior engineers, data scientists, and process managers to ensure AI solutions align with business objectives and integrate seamlessly into MLOps pipelines (Kubernetes, Ray Serve, BentoML, CI/CD workflows).

Your Profile:

  • Proven ability to lead and take ownership of AI initiatives, solving ambiguous and complex engineering challenges with a solution-oriented mindset and strong problem-solving abilities.
  • Deep curiosity and adaptability, always seeking new LLM advancements and finding creative ways to apply them in a fast-paced, evolving AI ecosystem using cutting-edge frameworks like Hugging Face, OpenAI API, and retrieval-augmented generation (RAG) techniques.
  • Strong problem-solving mindset, comfortable working autonomously on high-stakes AI engineering projects, pushing boundaries in AI automation, generative AI applications, and multi-agent system architectures.
  • Experience with AI development and integration, including prompt engineering, fine-tuning LLMs, vector search (FAISS, Pinecone), knowledge retrieval, and multi-agent collaboration using AutoGen and CrewAI.
  • Collaborative and business-driven approach, able to translate AI potential into real-world impact by engaging with senior leadership and cross-functional teams to develop scalable, AI-powered automation solutions.

We offer:

  • Be you at IU: We support and empower you to achieve your personal and professional goals. Your happiness significantly contributes to a positive and productive environment.
  • Work wherever you want: Digitalization is part of our DNA. Decide for yourself which place sparks the most productivity in you. Remote work is an option!
  • Flexible in terms of time: It’s your job; we trust you and give you the greatest possible freedom to organise yourself.
  • Take your knowledge to a new level: Enjoy free access to all our e-learning platforms and we will finance you a complete technology course of your choice.
  • Make your journey sustainable: Enjoy the freedom of mobility for both work and personal activities, while also making an eco-friendly choice.
  • 33 days to rest: In addition to 30 flexible vacation days per year, we also give you an extra day off on your birthday, as well as days off on Christmas Eve and New Year’s Eve.

IU International University of Applied Science (IU) is Germany's largest university of applied science. As an Edutech company, we rely on state-of-the-art technology and data-driven approaches. Here at IU, over 4,000 employees are dedicated to making a difference.

Become part of Data Science > AI team! We develop solutions to further increase our efficiency and productivity through automation, a higher clock rate, and better monitoring of our processes.

Sounds like the perfect job for you? Then apply now! Simple, fast and even without a cover letter. If you have any further questions, please feel free to contact Anita at Anita.Streitferdt(at)iu.org.

We cherish our 'Culture of Everyone' and do not tolerate discrimination towards any race, gender, religion, age, sexual orientation or disability. We welcome you as you are and look forward to nurturing our diverse community at the IU!

Staff AI Engineer (m/f/d) employer: IU Group

At IU International University of Applied Science, we pride ourselves on being a leading EdTech employer that champions innovation and personal growth. Our flexible work culture allows you to thrive in an environment that values your contributions, whether you choose to work remotely or from one of our vibrant office locations in Germany or the UK. With generous benefits like 33 vacation days, access to e-learning platforms, and a commitment to sustainability, we empower our employees to achieve their professional goals while making a meaningful impact in education.
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Contact Detail:

IU Group Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Staff AI Engineer (m/f/d)

✨Tip Number 1

Familiarise yourself with the latest advancements in AI, particularly in LLMs and automation tools. Being well-versed in technologies like GPT-4, LangChain, and FastAPI will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.

✨Tip Number 2

Engage with the AI community through forums, webinars, or local meetups. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals, which can significantly enhance your chances of landing the job.

✨Tip Number 3

Showcase your problem-solving skills by preparing examples of past projects where you led AI initiatives or solved complex engineering challenges. Be ready to discuss these experiences during interviews to illustrate your capability and leadership potential.

✨Tip Number 4

Research StudySmarter's mission and values thoroughly. Understanding our goals and how your skills align with our vision for accessible education will help you articulate why you're a great fit for the role and the company culture.

We think you need these skills to ace Staff AI Engineer (m/f/d)

Proficiency in Python
Experience with LLMs (GPT-4, Claude, Mistral)
Knowledge of AI automation frameworks (LangChain, AutoGen, CrewAI)
Familiarity with cloud platforms (AWS, GCP, Azure)
Expertise in FastAPI for application deployment
Understanding of database integration (PostgreSQL, Pinecone, Weaviate, ChromaDB)
Experience with AI observability tools (Prometheus, Grafana, Guardrails AI)
Strong problem-solving skills in AI engineering
Ability to lead AI initiatives and projects
Knowledge of MLOps pipelines (Kubernetes, Ray Serve, BentoML)
Experience with prompt engineering and fine-tuning LLMs
Familiarity with vector search technologies (FAISS, Pinecone)
Creative thinking and adaptability in AI applications
Collaboration skills to engage with cross-functional teams

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights relevant experience in AI engineering, particularly with LLMs and cloud-based deployments. Use specific examples of past projects that demonstrate your problem-solving skills and ability to lead AI initiatives.

Craft a Strong Statement: Even though a cover letter isn't required, consider including a brief statement that outlines your passion for AI and how your skills align with the role. Mention your adaptability and curiosity about new technologies, as these are key traits for this position.

Showcase Technical Skills: Clearly list your technical skills related to AI development, such as experience with FastAPI, Python, and cloud platforms like AWS or GCP. Highlight any familiarity with tools mentioned in the job description, like LangChain or AutoGen.

Highlight Collaboration Experience: Emphasise your ability to work collaboratively with cross-functional teams. Provide examples of how you've engaged with senior leadership or other departments to drive AI solutions that align with business objectives.

How to prepare for a job interview at IU Group

✨Showcase Your AI Expertise

Be prepared to discuss your experience with AI technologies, especially LLMs like GPT-4 and frameworks such as LangChain. Highlight specific projects where you've led AI initiatives or solved complex engineering challenges.

✨Demonstrate Problem-Solving Skills

Expect to face technical questions that assess your problem-solving abilities. Use examples from your past work to illustrate how you approached high-stakes AI projects and the innovative solutions you implemented.

✨Emphasise Collaboration

Since this role involves working closely with senior leadership and cross-functional teams, be ready to discuss how you've successfully collaborated in previous roles. Share instances where your teamwork led to impactful AI solutions.

✨Stay Updated on AI Trends

Show your deep curiosity and adaptability by discussing recent advancements in AI and how you can apply them. Mention any new techniques or tools you've explored, particularly those relevant to the EdTech sector.

Staff AI Engineer (m/f/d)
IU Group
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