At a Glance
- Tasks: Design and implement AI-driven backend systems using Node.js and Python.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in backend development and familiarity with AI applications required.
The predicted salary is between 70000 - 90000 £ per year.
Skills and Competencies
- 3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems
- Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies
- Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production
- Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices
- Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval
- Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred
- Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals
- Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams
Education
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
Responsibilities
- Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents
- Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning
- Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems
- Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI.
- Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads
- Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems
- Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models
- Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments
- Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability
- Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes
Software Engineer in London employer: Moody
Moody is an exceptional employer located in Greater London, offering a dynamic work culture that prioritises inclusivity and innovation. Employees benefit from extensive professional development opportunities and are encouraged to contribute diverse perspectives, making it a rewarding environment for those passionate about AI-driven analytics and credit risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Software 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 Moody 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 Moody.
✨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 Moody.
✨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 Moody 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 Software 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 Moody.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moody 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 Moody
✨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 Moody 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.
