At a Glance
- Tasks: Design and deploy cutting-edge AI systems for major enterprise clients.
- Company: Join Deliverance AI, a leader in enterprise AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and governance.
- Why this job: Make a real impact on how AI operates in large organisations.
- Qualifications: 4-8 years in software engineering with a focus on AI/ML.
The predicted salary is between 63000 - 77000 £ per year.
Deliverance AI is building an Enterprise AI Operating System that provides governed, production-grade AI infrastructure to large regulated organisations in pharma, financial services, and telecoms. This role sits within the Forward Deployed Engineering team and focuses on designing and shipping production AI agent systems for enterprise clients - not research prototypes. Day-to-day work involves building multi-agent workflows, implementing RAG pipelines, configuring model routing, and ensuring every deployment meets strict governance requirements such as audit trails and PII redaction. The role offers meaningful influence over how autonomous AI operates inside large enterprises, with direct customer impact.
Responsibilities
- Design and deploy production AI agent systems for enterprise clients on the Deliverance AI platform
- Build multi-agent workflows using Swarm patterns, including orchestrators coordinating specialist agents
- Configure and extend agents from the platform library across multiple enterprise domains
- Implement RAG pipelines, model routing, and tool integrations for client-specific workflows
- Ensure all deployments meet Trust Architecture standards: audit trails, PII redaction, and human-in-the-loop gates
- Contribute novel agent patterns, prompt templates, and evaluation frameworks back to the platform
Requirements
- 4-8 years in software engineering, with 2+ years focused on AI/ML or LLM application development
- Strong Python skills and hands-on experience with LLM/agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
- Demonstrated agentic AI experience: tool use, function calling, and multi-agent orchestration
- Production engineering skills: API design, containerisation (Docker/Kubernetes), CI/CD, and observability
Nice to have
- RAG expertise: vector stores, embedding models, and retrieval strategies
- Understanding of enterprise AI governance: audit trails, RBAC, and EU AI Act compliance
- Open-source AI contributions
Agentic AI Engineer in London employer: Kaidon.ai
As a Field CTO at our company, you will join a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a culture of continuous learning, and the opportunity to work closely with C-suite executives on transformative projects that shape the future of technology and business. Located in a vibrant area, our workplace fosters creativity and strategic thinking, making it an excellent employer for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Kaidon.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Kaidon.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Kaidon.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Kaidon.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic AI Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Kaidon.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Kaidon.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Kaidon.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Kaidon.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
