At a Glance
- Tasks: Design and build cutting-edge AI systems using modern Large Language Models.
- Company: Join NowVertical, a dynamic tech company transforming data into actionable insights.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a rapidly evolving field with excellent career advancement opportunities.
- Why this job: Lead innovative AI projects and mentor junior engineers in a collaborative environment.
- Qualifications: 5-8 years of software engineering experience with a focus on AI systems.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, UK (Hybrid)
Experience: 5-8 Years
NowVertical is a publicly listed company on the TSXV headquartered in Toronto, Canada. We are a growing team with operations in two regions - NA & EMEA and LATAM. We help clients transform data into business value with AI, fast. NowVertical Group empowers organizations to transform their data into actionable insights, driving strategic growth and innovation.
NowVertical is looking for a Senior AI Engineer to design, build, and scale agentic AI systems powered by modern Large Language Models (LLMs). Reporting to our Principal AI Engineer, you will take technical ownership of complex AI workstreams, mentor more junior engineers, and help shape NowVertical’s AI platform strategy. This is a deeply hands-on role. You will architect and ship production-grade AI systems—multi-agent orchestration, RAG pipelines, tool-augmented reasoning workflows—while working across GCP, Azure, and AWS. We value versatile engineers who can navigate multiple frameworks and cloud environments to build resilient, observable, and scalable AI applications.
Requirements
- Agentic AI & Multi-Agent Systems: Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). Enable seamless cross-agent communication and multi-modal coordination.
- LLM Applications & Orchestration: Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. Drive optimisation of AI workflows for latency, token cost, and output quality.
- Platform & API Development: Develop and own reusable AI microservices, agent frameworks, and standardised APIs. Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. Define and enforce engineering standards and best practices for AI development across the team.
- Cloud Deployment & Production Systems: Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. Drive incident response and post-mortems for production AI system failures.
- Technical Leadership & Mentoring: Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. Mentor and support more junior AI engineers through code review, design discussions, and pair programming. Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team.
Qualification & Skills:
- Core AI Expertise (Required): 5–8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js).
- Agentic & Systems Thinking (Required): Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems.
- Cloud & DevOps (Required): Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models.
- Data Engineering (Nice to Have): Vector databases: Vertex AI Vector Search, Azure AI Search, Pinecone, or Weaviate. Data pipelines: BigQuery, Pub/Sub, Azure Synapse. ETL/ELT experience preparing unstructured data for RAG and fine-tuning.
What we are looking for:
- Engineers who view LLMs as components within a larger system—not just standalone models—and who think carefully about architecture, reliability, and cost.
- A senior mindset: someone who takes ownership, drives outcomes, and elevates the engineers around them.
- A strong bias toward production-ready, resilient, and observable AI applications.
- Genuine passion for the rapidly evolving landscape of agentic AI and next-generation software architectures.
Senior AI Engineer: Agentic Systems & LLM Platform Lead in London employer: jobr.pro
NowVertical is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for mentorship and technical leadership, ensuring that our team members are at the forefront of AI advancements. Our hybrid work model promotes a healthy work-life balance, while our commitment to cutting-edge technology empowers engineers to make a meaningful impact in transforming data into actionable insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer: Agentic Systems & LLM Platform Lead in London
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or even online webinars. Connecting with folks in the AI space can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic systems. A hands-on demonstration of what you can do speaks volumes more than just words on a CV.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack. Familiarise yourself with their tools and frameworks, like Google AI SDKs or Azure services, so you can discuss how your experience aligns with their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior AI Engineer: Agentic Systems & LLM Platform Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in LLMs, multi-agent systems, and cloud platforms like GCP or Azure. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about agentic AI and how your background aligns with our mission at NowVertical. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on relevant projects, don't hold back! Include links to your GitHub or any other portfolio showcasing your work with AI systems, RAG pipelines, or orchestration frameworks. We’re keen to see what you’ve built and how you approach problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at jobr.pro
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Google AI SDKs and orchestration frameworks like LangGraph and CrewAI. Brush up on your Python skills and be ready to discuss your experience with LLM applications and multi-agent systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building production-grade AI systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you’ve driven outcomes in complex projects.
✨Demonstrate Leadership and Mentorship
Since this role involves mentoring junior engineers, be ready to share examples of how you've supported others in your team. Talk about your approach to technical leadership and how you’ve contributed to shaping architecture and best practices in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in NowVertical’s AI platform strategy and future direction. Inquire about their current challenges with agentic AI systems or how they envision the evolution of their AI capabilities. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
