Generative AI Engineer

Generative AI Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to develop cutting-edge Generative AI solutions and chatbots.
  • Company: K&K Social Resources & Development GmbH, a leading international recruiting agency.
  • Benefits: Permanent position in London with competitive salary and growth opportunities.
  • Why this job: Be at the forefront of AI innovation and make a real impact in tech.
  • Qualifications: Experience in Gen AI, ML, and strong Python skills required.
  • Other info: Collaborate with diverse teams and enhance your career in a vibrant environment.

The predicted salary is between 36000 - 60000 £ per year.

K&K Social Resources & Development GmbH is an international recruiting agency that has been providing technical resources in the European region since 1993. This position is with one of our clients in the United Kingdom which is actively hiring candidates to expand its teams.

Details

  • Employment Type: Permanent
  • Location: London, United Kingdom
  • Technology: AI/ ML/ Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP

Job Description Required

  • Experience and good understanding of Gen AI, Agentic AI, classic ML and automation space
  • Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/ unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability
  • Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS)
  • Experience in architecting and scaling GenAI chatbots
  • Experience in Agentic AI solutions
  • Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler
  • Good understanding of Responsible AI principles
  • Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions
  • Strong articulation, stakeholder management and consulting skills
  • Experience driving productivity and cost optimisations

Skills:

  • Python with AI/ML frameworks (PyTorch, TensorFlow)
  • Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI / Agentic AI
  • Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI)
  • MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes)

Preferred

  • Delivered AI projects within Agile frameworks
  • Experience on Model Feedback Analysis, topic modelling, sentiment analysis
  • Knowledge of AgentOps and OpenTelemetry
  • Understanding of Network Security Concepts, Network Telemetry and Analytics

Note: Applicants for employment in the United Kingdom should possess work authorisation, which does not require sponsorship by the employer for a visa.

Generative AI Engineer employer: K&K Talents

K&K Social Resources & Development GmbH is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets collaboration. Employees benefit from a culture that prioritises professional growth and development, with access to cutting-edge technology in AI and machine learning. The company fosters a supportive atmosphere that encourages creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in the tech industry.
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Contact Detail:

K&K Talents Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Generative AI Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Generative AI Engineer role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in Gen AI, ML, and automation. We recommend including links to GitHub repos or live demos. This way, potential employers can see your expertise in action!

✨Tip Number 3

Prepare for those interviews! Brush up on your knowledge of prompt engineering and MLOps pipelines. We suggest practising common interview questions and even doing mock interviews with friends to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Generative AI Engineer

Generative AI
Agentic AI
Machine Learning (ML)
Prompt Engineering
RAG Pipelines
Model Tuning
MLOps
AI Observability
Enterprise-grade RAG-based Solutions
Large Language Models (LLMs)
Vector Databases
Chatbot Architecture and Scaling
Agentic AI Frameworks
Cloud Platforms (Azure, AWS, GCP)
Python with AI/ML Frameworks

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Generative AI Engineer role. Highlight your experience with Gen AI, ML, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. We love seeing enthusiasm and a personal touch.

Showcase Your Technical Skills: Don’t forget to list your technical skills clearly. Mention your experience with Python, MLOps tools, and any frameworks like PyTorch or TensorFlow. We’re keen to see how you can contribute to our projects!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!

How to prepare for a job interview at K&K Talents

✨Know Your Tech Inside Out

Make sure you have a solid grasp of the technologies mentioned in the job description, especially around Generative AI and MLOps. Brush up on your knowledge of frameworks like PyTorch and TensorFlow, and be ready to discuss how you've applied them in real-world projects.

✨Showcase Your Problem-Solving Skills

Prepare examples that demonstrate your ability to transform complex business problems into analytical solutions. Think about specific instances where you collaborated with cross-functional teams to deliver integrated solutions, as this will highlight your stakeholder management skills.

✨Get Familiar with Prompt Engineering

Since prompt engineering is a key part of the role, practice crafting prompts for various AI models. Be ready to discuss your experience with RAG pipelines and how you've tuned models in supervised and unsupervised settings. This will show your hands-on expertise.

✨Understand Responsible AI Principles

Familiarise yourself with Responsible AI principles and be prepared to discuss their importance in your work. Companies are increasingly focused on ethical AI practices, so demonstrating your understanding here can set you apart from other candidates.

Generative AI Engineer
K&K Talents
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