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- Tasks: Design and develop AI applications that deliver real business value at speed.
- Company: Exciting tech client focused on high-impact AI solutions.
- Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and automation.
- Why this job: Join a dynamic team and apply your skills in practical AI applications.
- Qualifications: 5+ years in software engineering with strong Python skills and cloud experience.
The predicted salary is between 70000 - 90000 £ per year.
Canary Wharf (4 days/week on-site). We are recruiting on behalf of an exciting end client who is building high-impact AI-powered applications that deliver real business value at speed — and they need engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure. This isn't a research role. It's for seasoned engineers who are excited about applying AI in practical, scalable, and production-grade ways.
What You'll Be Doing
- Designing, developing, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native).
- Building foundational platforms — conversational bots, AI-powered search, unstructured data processing, GenBI — that scale across the enterprise.
- Working in cross‑functional, embedded teams alongside business stakeholders to ship AI solutions fast.
- Evaluating and integrating LLMs, vector DBs, RAG patterns, and AI agents into robust applications.
- Championing automation across data ingestion, evaluation, model integration, and deployment.
- Contributing to internal tooling libraries and AI engineering best practices.
What Our Client Is Looking For
- 5+ years of professional software engineering experience, with a track record of shipping complex systems in production.
- Strong Python skills (preferred), or Java/similar; solid experience with microservices, APIs, and backend systems.
- Experience integrating ML models into production (LLMs via APIs, RAG, fine-tuning, embeddings, agents).
- Solid grasp of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps.
- Ability to move fast without sacrificing code quality or operational excellence.
- Hands‑on experience with LangChain, Haystack, Hugging Face, Weaviate, or similar AI/ML tooling.
- Experience with agentic frameworks: LlamaIndex, CrewAI, AutoGen, or similar LLM orchestration toolkits.
- Background in platform engineering or internal developer tools.
- Experience with unstructured data (documents, conversations, images) and transforming it into structured formats.
- Prior work in a forward‑deployed or embedded team model.
Generative AI Engineer in London employer: Venturi
Contact Detail:
Venturi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Generative AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI applications. This will give potential employers a taste of what you can do and how you think holistically about engineering.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, microservices, and integrating ML models into production. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We have exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your 5+ years of software engineering experience and any specific projects where you've integrated ML models or worked with AI tooling.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about applying AI in practical ways. Share examples of how you've built production-grade applications and championed automation in your previous roles.
Showcase Your Technical Skills: Be sure to mention your strong Python skills and any experience with microservices, APIs, and cloud infrastructure. If you've worked with tools like LangChain or Hugging Face, let us know!
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Venturi
✨Know Your AI Tools
Make sure you’re well-versed in the specific AI tools mentioned in the job description, like LangChain and Hugging Face. Brush up on how these tools integrate with production systems, as you’ll likely be asked about your hands-on experience with them.
✨Showcase Your Engineering Experience
Prepare to discuss your past projects where you’ve shipped complex systems. Highlight your experience with CI/CD, microservices, and cloud infrastructure. Be ready to explain how you maintain code quality while moving fast—this is crucial for the role!
✨Demonstrate Cross-Functional Collaboration
Since the role involves working with cross-functional teams, think of examples where you’ve collaborated with business stakeholders. Share how you’ve contributed to shipping AI solutions quickly and effectively, showcasing your ability to bridge technical and business needs.
✨Emphasise Automation Skills
Automation is key in this role, so come prepared with examples of how you’ve championed automation in your previous work. Discuss your experience with data ingestion, model integration, and deployment processes, and how you’ve streamlined these workflows.