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- Tasks: Lead the deployment of cutting-edge Generative AI solutions in enterprise environments.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by deploying transformative AI technologies with clients.
- Qualifications: Experience in LLM/Generative AI, cloud deployment, and customer-facing roles.
- Other info: Dynamic role with rapid prototyping and ownership in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments. This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.
Key Responsibilities
- Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
- Lead production deployment on AWS, Azure or GCP
- Build scalable backend systems in Python (JavaScript a plus)
- Manage infrastructure using Kubernetes, Docker, Terraform
- Own end-to-end technical delivery across multiple client deployments
- Conduct debugging, optimisation and root cause analysis
- Communicate complex AI concepts to technical and non-technical stakeholders
Requirements
- Strong experience building and deploying LLM / Generative AI solutions
- Hands-on with LangChain, RAG, multi-agent systems
- Cloud ML deployment experience (AWS, Azure or GCP)
- DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
- Customer-facing technical delivery experience
- Background in Machine Learning, Data Science or AI Engineering
This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments. Apply now to work at the forefront of enterprise AI deployment and agentic systems.
Forward Deployed Engineer Generative AI / LLM Deployment employer: DCV Technologies Limited
Contact Detail:
DCV Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer Generative AI / LLM Deployment
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential employers on LinkedIn. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to AWS, Kubernetes, and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about deploying cutting-edge AI solutions. Your next big opportunity could be just a click away!
We think you need these skills to ace Forward Deployed Engineer Generative AI / LLM Deployment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI and LLM solutions. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with tools like LangChain and your cloud deployment expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about deploying AI solutions and how your background makes you a perfect fit for our team. Remember, we love seeing enthusiasm for customer-facing roles!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building scalable backend systems or managing infrastructure with Kubernetes, we want to know what you've done and the impact it had.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at DCV Technologies Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain, RAG, and cloud platforms like AWS or Azure. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Customer-Facing Experience
Since this role is customer-facing, prepare examples of how you've successfully communicated complex AI concepts to both technical and non-technical stakeholders. Think about specific instances where your communication made a difference in project outcomes.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've tackled challenges in deploying LLM solutions or debugging issues in production environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Prepare for Hands-On Technical Questions
Expect some practical questions or even a coding challenge related to building scalable backend systems or managing infrastructure with Kubernetes. Practise coding problems and be prepared to explain your thought process as you work through them.