Senior Python Engineer (AI)

Senior Python Engineer (AI)

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build cutting-edge AI platforms using Python and modern frameworks.
  • Company: Velocity Tech Partners, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Fast-paced environment with exciting challenges and client interactions.
  • Why this job: Join a high-performing team and make a real impact with AI technology.
  • Qualifications: 8+ years of Python experience and a strong background in AI systems.

The predicted salary is between 72000 - 88000 £ per year.

Velocity Tech Partners are hiring a Senior Python Engineer to join a high-performing team building cutting-edge agentic AI platforms for enterprise clients. This is a senior-level role focused on designing and delivering production-grade AI systems using modern LLM orchestration frameworks — not ML research. You’ll work across complex client environments, helping organisations deploy intelligent, autonomous systems that drive real operational impact.

What you’ll be doing:

  • Design and build agentic AI platforms using Python and modern AI frameworks
  • Architect LLM orchestration using tools such as LangGraph, CrewAI, AutoGen and similar technologies
  • Build and scale multi-agent systems with tool use, memory, planning, and workflow execution
  • Design and implement RAG pipelines over enterprise data sources
  • Integrate agentic systems into client environments (APIs, data platforms, SaaS tools, enterprise systems)
  • Deploy and manage workloads in Kubernetes across cloud, on-prem, and hybrid infrastructures
  • Design robust, scalable, and secure production architectures
  • Work directly with clients and stakeholders to translate business problems into technical solutions

What we’re looking for:

  • 8+ years’ experience as a Senior Software Engineer (Python-focused)
  • Strong track record building production-grade backend systems
  • Proven experience delivering agentic AI / LLM-based systems in production
  • Hands-on experience with RAG pipelines and enterprise data integration
  • Strong distributed systems and architecture skills
  • Experience deploying workloads in Kubernetes
  • Cloud experience (AWS / Azure / GCP)
  • Comfortable working in fast-paced, ambiguous, client-facing environments

Senior Python Engineer (AI) employer: Velocity Tech

Join a dynamic fintech in London where you will have the opportunity to take full ownership of a pioneering pension product, shaping its strategy and direction while working closely with senior leadership. Our collaborative work culture fosters innovation and autonomy, allowing you to make impactful decisions without bureaucratic delays. With a strong focus on employee growth and investment in modern technologies like AI, this role offers a unique chance to contribute to a meaningful product that enhances customer experiences.

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Contact Details:

Velocity Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Python Engineer (AI)

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 Velocity Tech 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 Velocity Tech.

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 Velocity Tech.

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 Velocity Tech 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 Senior Python Engineer (AI)

Python
LLM Orchestration
LangGraph
CrewAI
AutoGen
Multi-Agent Systems
RAG Pipelines

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 Velocity Tech.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Velocity Tech 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 Velocity Tech

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 Velocity Tech 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.