At a Glance
- Tasks: Design and develop AI-powered full-stack applications using Python and modern technologies.
- Company: Join a forward-thinking tech company leading in Generative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: Strong Python skills and experience in AI/ML application development.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled Senior GenAI Engineer/ Python Fullstack Developer to join our team and lead the development of next-generation AI-powered solutions. This role is ideal for a hands‑on engineer with strong expertise in Generative AI, Large Language Models (LLMs), Knowledge Graphs, MLOps, and Full-Stack Development. You will play a key role in designing, building, and scaling enterprise‑grade AI applications that drive business innovation and deliver real‑world impact.
Key Responsibilities
- AI & Application Development
- Design, develop, and deploy scalable AI-powered full‑stack applications using Python and modern frontend technologies.
- Build and integrate Generative AI solutions leveraging frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, and RAGAS.
- Develop robust backend services and APIs using FastAPI, Flask, and microservices architecture.
- Build and maintain Human‑in‑the‑Loop (HITL) systems to enable continuous model improvement through user feedback and validation.
- Knowledge Graph & Advanced AI Solutions
- Design, implement, and maintain enterprise Knowledge Graphs using graph databases such as Neo4j, Amazon Neptune, and GraphDB.
- Work with semantic web technologies including RDF, OWL, and SPARQL.
- Develop graph‑based AI solutions using techniques such as Link Prediction, Node Embeddings, and Graph Analytics.
- MLOps & AI Operations
- Implement MLOps best practices for AI model deployment, monitoring, governance, and continuous integration/continuous deployment (CI/CD).
- Ensure scalability, reliability, security, and performance of AI applications.
- Develop testing frameworks, documentation, and operational support processes.
- Collaborate closely with Data Scientists, ML Engineers, Architects, Product Managers, and Engineering teams.
- Drive innovation by evaluating and adopting emerging AI/ML technologies and frameworks.
- Contribute to technical discussions, architecture decisions, and best practices.
Required Skills & Qualifications
- Technical Skills
- Strong proficiency in Python with experience in full‑stack application development.
- Hands‑on experience building and deploying AI/ML applications using Large Language Models (LLMs).
- Experience with LangChain, LangGraph, LangSmith, and RAGAS.
- Strong understanding of Human‑in‑the‑Loop AI systems.
- Experience with SQL and NoSQL databases.
- Experience working with cloud platforms: AWS.
- Knowledge of cloud‑based AI/ML services and APIs.
- Experience with RESTful APIs, Docker, ReactJS, Angular, and Vue.js.
- Process & Methodology
- Strong understanding of Software Development Life Cycle (SDLC).
- Experience working in Agile and Scrum environments.
- Ability to gather requirements and create technical specifications.
Preferred Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Research contributions in AI/ML, including publications, patents, or conference presentations.
- Experience with advanced graph‑based machine learning techniques.
Certifications (Preferred)
- AWS AI/ML Certification.
What We're Looking For
- Excellent problem‑solving and analytical skills.
- Strong communication and stakeholder management abilities.
- Ability to work independently and collaboratively in a fast‑paced environment.
- Passion for innovation and emerging AI technologies.
- Continuous learner with a growth mindset.
- Positive attitude and strong ownership mindset.
If you're passionate about building cutting‑edge Generative AI solutions and want to work on transformative enterprise AI initiatives, we'd love to hear from you. Apply now or reach out directly to learn more.
Python Fullstack Developer in London employer: Mphasis
Join a forward-thinking company that champions innovation and creativity, offering a dynamic work culture where your contributions as a Python Fullstack Developer will directly impact the development of next-generation AI solutions. With a strong emphasis on employee growth, we provide ample opportunities for professional development and collaboration with industry experts in a supportive environment. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of like-minded professionals, making it an ideal place for those passionate about advancing their careers in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Python Fullstack Developer 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 Mphasis 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 Mphasis.
✨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 Mphasis.
✨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 Mphasis 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 Python Fullstack Developer 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 Mphasis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Mphasis 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 Mphasis
✨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 Mphasis 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.
