At a Glance
- Tasks: Build and evolve AI tools and servers for cutting-edge digital solutions.
- Company: Join Appnovation, a global leader in digital innovation and technology.
- Benefits: Competitive salary, diverse team culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- Why this job: Be at the forefront of AI technology and make a real impact on digital experiences.
- Qualifications: 5+ years in software engineering with a focus on AI/ML applications.
The predicted salary is between 63000 - 77000 £ per year.
About us
Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services.
We build digital solutions that deliver real impact today and serve as foundations for future growth.
Bold ambition.
Practical action.
Endless possibilities.
Technology is foundational to all of Appnovation’s offerings, from consulting to digital innovation, to digital product and service creation.
The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.
Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.
As an AI / Agent Engineer — an “AI Builder” — you will join a highly motivated and experienced team at the core of every pod, building and evolving the agentic layer of our platform.
You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding.
We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done.
KEY RESPONSIBILITIES
- Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e. g., Claude, Gemini).
- Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships.
- Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
- Partner with QA on eval-driven improvements to answer quality and factual grounding.
- Write clean, well-tested, production-grade code and participate in code reviews.
- Collaborate closely with product, data, and QA in an agile/sprint model.
- Document designs, prompts, and tool interfaces for maintainability and handover.
- Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
- Stay current with the fast-moving LLM/agent tooling landscape.
QUALIFICATIONS
- Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of experience in software engineering, with 2+ years in AI/ML or LLM-based applications.
- Strong Python, with hands‑on experience in LLM application development and agentic patterns.
- Direct experience building MCP servers, tools, and skills.
- Experience with RAG and graph-RAG systems, vector databases, and embeddings.
- Familiarity with graph data stores (Neo4j and/or Postgres/Supabase-based graph implementations).
- Comfortable working against multiple LLM providers (e. g., Claude, Gemini).
- Solid software engineering fundamentals: version control (Git), testing, and CI/CD.
- Strong problem-solving and communication skills, with the ability to work independently in ambiguity.
WHO YOU ARE
- You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
- You understand lean thinking
- You set high standards for code quality, performance/scalability and security and seek continuous improvement
- You have solid analytical, problem solving and decision-making skills
- You have customer first mindset and a devotion to customer service
- You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
- You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross‑functional environment with all levels of the organization
- You are responsive and thrive in a fast‑paced diverse high-performance environment with rapidly changing business needs
- You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
- You have prior experience in consulting
- Prior experience and connections in the Life Sciences industry is preferred
Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.
At Appnovation, we recognize that diverse teams are the strongest teams.
Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it!
We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply.
Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.
Accommodations are available upon request throughout the recruitment process.
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AI / Agent Engineer in London employer: Socket.dev
Genentech is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant city of Boston. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to advancing healthcare through cutting-edge research. Joining Genentech means being part of a team dedicated to making a meaningful impact in the field of oncology, where your expertise will be valued and your contributions will drive significant advancements in patient care.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Agent 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 Socket.dev 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 Socket.dev.
✨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 Socket.dev.
✨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 Socket.dev 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 AI / Agent 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 Socket.dev.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Socket.dev 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 Socket.dev
✨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 Socket.dev 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.